| 1 |
Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction
Yeong Chan Lee, Jiho Cha, Injeong Shim, Woong‐Yang Park, Se Woong Kang...
|
2023 |
107 |
10
|
| 2 |
A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernández, Edu...
|
2023 |
55 |
10
|
| 3 |
A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
Nitish Biswas, Khandaker Mohammad Mohi Uddin, Sarreha Tasmin Rikta, Sa...
|
2022 |
116 |
10
|
| 4 |
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, Mu...
|
2022 |
89 |
10
|
| 5 |
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential
Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J. Pai, Arup Acharjee...
|
2021 |
76 |
10
|
| 6 |
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Tawsifur Rahman, Amith Abdullah Khandakar, Muhammad Abdul Kadir, Khand...
|
2020 |
651 |
10
|
| 7 |
Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
|
2020 |
57 |
10
|
| 8 |
Deep learning approaches for breast cancer detection in histopathology images: A review
Lakshmi Priya C V, Vinai George Biju, Vinod B R, Sivakumar Ramachandra...
|
2024 |
44 |
9
|
| 9 |
SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
Roberto Vega, Leonardo Albitres Flores, Russell Greiner
|
2022 |
38 |
9
|
| 10 |
Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning
Sargun Nagpal, Ridam Pal, Ashima Ashima, Ananya Tyagi, Sadhana Tripath...
|
2022 |
35 |
9
|
| 11 |
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri O. Karray, Reda Alhajj, Jia Zeng
|
2021 |
292 |
9
|
| 12 |
Detection and analysis of COVID-19 in medical images using deep learning techniques
Dandi Yang, Cristhian Martinez-Rendon, Lara Visuña, Hardev Mukeshbhai...
|
2021 |
158 |
9
|
| 13 |
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Abdullah Khandakar, S...
|
2021 |
114 |
9
|
| 14 |
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment
Roberta Fusco, Roberta Grassi, Vincenza Granata, Sergio Venanzio Setol...
|
2021 |
96 |
9
|
| 15 |
MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis
Margherita Rosnati, Vincent Fortuin
|
2021 |
56 |
9
|
| 16 |
Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging
Seung Hoon Yoo, Hui Geng, Tin Lok Chiu, Siu Ki Yu, Dae Chul Cho, Jin U...
|
2020 |
287 |
9
|
| 17 |
Deep Learning Based Lung Cancer Detection and Classification
N. Kalaivani, Natraj Manimaran, Dr. S Sophia, D D Devi
|
2020 |
105 |
9
|
| 18 |
Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals
Yongbo Liang, Shimin Yin, Qunfeng Tang, Zhenyu Zheng, Mohamed Elgendi,...
|
2020 |
53 |
9
|
| 19 |
Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques
Senthilkumar Mohan, Chandrasegar Thirumalai, Gautam Srivastava
|
2019 |
1,943 |
9
|
| 20 |
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy images
Alaa S. Al‐Waisy, Shumoos Al-Fahdawi, Mohammed Khalaf, Mazin Abed Moha...
|
2025 |
40 |
8
|
| 21 |
Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
Minseong Noh, Yang Sok Kim
|
2025 |
10 |
8
|
| 22 |
Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification
Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail M...
|
2025 |
27 |
8
|
| 23 |
An explainable machine learning approach for Alzheimer’s disease classification
Abbas Saad Alatrany, Wasiq Khan, Abir Jaafar Hussain, Hoshang Kolivand...
|
2024 |
167 |
8
|
| 24 |
Deep-learning-enabled antibiotic discovery through molecular de-extinction
Fang Wan, Marcelo D. T. Torres, Jacqueline J Peng, César de la Fuente‐...
|
2024 |
189 |
8
|
| 25 |
Zero-Shot Clinical Trial Patient Matching with LLMs
Michael Wornow, Alejandro Lozano, Dev Dash, Jenelle Jindal, Kenneth W....
|
2024 |
57 |
8
|
| 26 |
Deep Learning Pipeline for Accelerating Virtual Screening in Drug Discovery
Fatima Noor, Muhammad Junaid, Atiah H. Almalki, Mohammed Almaghrabi, S...
|
2024 |
54 |
8
|
| 27 |
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
|
2024 |
46 |
8
|
| 28 |
An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review
Assunta Di Costanzo, Carmen Spaccarotella, Giovanni Esposito, Ciro Ind...
|
2024 |
42 |
8
|
| 29 |
An Advanced Deep Learning Framework for Multi-Class Diagnosis from Chest X-ray Images
Maria Vasiliki Sanida, Theodora Sanida, Argyrios Sideris, Minas Dasyge...
|
2024 |
32 |
8
|
| 30 |
Development and Validation of a Deep Learning Model for Histopathological Slide Analysis in Lung Cancer Diagnosis
Alhassan Ali Ahmed, M. T. Fawi, Agnieszka Brychcy, Mohamed Abouzid, Ma...
|
2024 |
29 |
8
|
| 31 |
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
Peter G. Mikhael, Jeremy Wohlwend, Adam Yala, Ludvig Karstens, Justin...
|
2023 |
285 |
8
|
| 32 |
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried K. Wagner, Murat Seçkin Ayhan, Dom...
|
2023 |
975 |
8
|
| 33 |
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Kai Cao, Yingda Xia, Jiawen Yao, Xu Han, Lukáš Lambert, Tingting Zhang...
|
2023 |
354 |
8
|
| 34 |
Accelerating drug target inhibitor discovery with a deep generative foundation model
Vijil Chenthamarakshan, Samuel C. Hoffman, David Owen, Petra Lukacik,...
|
2023 |
51 |
8
|
| 35 |
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
Tiago Alves de Oliveira, Michel Pires da Silva, Eduardo Habib Bechelan...
|
2023 |
136 |
8
|
| 36 |
Discovery of senolytics using machine learning
Vanessa Smer-Barreto, Andrea Quintanilla, Richard J. R. Elliott, John...
|
2023 |
130 |
8
|
| 37 |
Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images
Vinayak Sharma, Nillmani, Sachin Kumar Gupta, K.K. Shukla
|
2023 |
119 |
8
|
| 38 |
Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Records: A Systematic Review
Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Toh Leong Tan, M...
|
2023 |
118 |
8
|
| 39 |
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
Oliver Lester Saldanha, Chiara Maria Lavinia Loeffler, Jan Niehues, Ma...
|
2023 |
87 |
8
|
| 40 |
Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis
Zhenyu Yang, Xiaoju Cui, Zhe Song
|
2023 |
68 |
8
|
| 41 |
Cervical cancer survival prediction by machine learning algorithms: a systematic review
Milad Rahimi, Atieh Akbari, Farkhondeh Asadi, Hassan Emami
|
2023 |
57 |
8
|
| 42 |
Deep and Transfer Learning Approaches for Automated Early Detection of Monkeypox (Mpox) Alongside Other Similar Skin Lesions and Their Classification
Madhumita Pal, Ahmed Mahal, Ranjan K. Mohapatra, Ahmad J. Obaidullah,...
|
2023 |
47 |
8
|
| 43 |
Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes**
Markus Orsi, Boon Shing Loh, Cheng Weng, Wee Han Ang, Angelo Frei
|
2023 |
44 |
8
|
| 44 |
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images
Md Ishtyaq Mahmud, Muntasir Mamun, Ahmed Abdelgawad
|
2023 |
44 |
8
|
| 45 |
Classification and deep-learning–based prediction of Alzheimer disease subtypes by using genomic data
Daichi Shigemizu, Shintaro Akiyama, Mutsumi Suganuma, Motoki Furutani,...
|
2023 |
37 |
8
|
| 46 |
A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation
Nikoletta-Maria Koutroumpa, Konstantinos D. Papavasileiou, Anastasios...
|
2023 |
35 |
8
|
| 47 |
Robustness Fine-Tuning Deep Learning Model for Cancers Diagnosis Based on Histopathology Image Analysis
Sameh Abd El-Ghany, Mohammad Azad, Mohammed Mahfouz Elmogy
|
2023 |
34 |
8
|
| 48 |
Stroke Risk Prediction with Machine Learning Techniques
Elias Dritsas, Μαρία Τρίγκα
|
2022 |
284 |
8
|
| 49 |
Risk prediction of cardiovascular disease using machine learning classifiers
Madhumita Pal, Smita Parija, Ganapati Panda, Kuldeep Dhama, Ranjan K....
|
2022 |
158 |
8
|
| 50 |
Detection of COVID-19 Based on Chest X-rays Using Deep Learning
Walaa Gouda, Maram Almurafeh, Mamoona Humayun, Noor Zaman Jhanjhi
|
2022 |
132 |
8
|
| 51 |
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review
Rui Li, Chuda Xiao, Yongzhi Huang, Haseeb Hassan, Bingding Huang
|
2022 |
129 |
8
|
| 52 |
Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review
Ping Xiong, Simon Ming‐Yuen Lee, Ging Chan
|
2022 |
104 |
8
|
| 53 |
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Carles Rubio Maturana, Allisson Dantas de Oliveira, Sergi Nadal, Besim...
|
2022 |
87 |
8
|
| 54 |
Detection of Metastatic Breast Cancer from Whole-Slide Pathology Images Using an Ensemble Deep-Learning Method
Jafar Abdollahi, Niyousha Davari, Yasin Panahi, Mossa Gardaneh
|
2022 |
46 |
8
|
| 55 |
A New Approach to Drug Repurposing with Two-Stage Prediction, Machine Learning, and Unsupervised Clustering of Gene Expression
Yi Cong, Misaki Shintani, Fuga Imanari, Naoki Osada, Toshinori Endo
|
2022 |
40 |
8
|
| 56 |
Machine Learning Models for Early Prediction of Sepsis on Large Healthcare Datasets
Javier Enrique Camacho-Cogollo, Isis Bonet, Bladimir Gil, Ernesto Iada...
|
2022 |
34 |
8
|
| 57 |
Machine Learning Models for Cardiovascular Disease Events Prediction
Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoula...
|
2022 |
22 |
8
|
| 58 |
Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare
Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Hermione Mei Niang Poh,...
|
2021 |
412 |
8
|
| 59 |
Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Shraddha Mainali, Marin E. Darsie, Keaton S. Smetana
|
2021 |
147 |
8
|
| 60 |
Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy
Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi, Caterina Be...
|
2021 |
145 |
8
|
| 61 |
MRI Deep Learning-Based Solution for Alzheimer’s Disease Prediction
Cristina L. Saratxaga, Iratxe Moya, Artzai Picón, Marina Acosta, Aitor...
|
2021 |
131 |
8
|
| 62 |
A deep learning algorithm for detecting acute myocardial infarction
Wencheng Liu, Chin‐Sheng Lin, Chien‐Sung Tsai, Tien‐Ping Tsao, Cheng‐C...
|
2021 |
93 |
8
|
| 63 |
Pre-existing and machine learning-based models for cardiovascular risk prediction
Sang-Yeong Cho, Sun–Hwa Kim, Si‐Hyuck Kang, Si-Hyuck Kang, Kyong Joon...
|
2021 |
85 |
8
|
| 64 |
Early Prediction of Sepsis Based on Machine Learning Algorithm
Xin Zhao, Wenqian Shen, Guanjun Wang
|
2021 |
58 |
8
|
| 65 |
Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence
Youngjun Park, Dominik Heider, Anne-Christin Hauschild
|
2021 |
41 |
8
|
| 66 |
A dynamic, ensemble learning approach to forecast dengue fever epidemic years in Brazil using weather and population susceptibility cycles
Sarah F. McGough, Leonardo Clemente, J. Nathan Kutz, Mauricio Santilla...
|
2021 |
46 |
8
|
| 67 |
Diagnostic and prognostic capabilities of a biomarker and EMR‐based machine learning algorithm for sepsis
Ishan Taneja, Gregory L. Damhorst, Carlos G. Lopez-Espina, Sihai Dave...
|
2021 |
44 |
8
|
| 68 |
Faculty Opinions recommendation of A deep learning approach to antibiotic discovery.
Serge Mostowy, Ana T. López-Jiménez
|
2020 |
n/a |
8
|
| 69 |
Machine learning prediction in cardiovascular diseases: a meta-analysis
Chayakrit Krittanawong, Hafeez Ul Hassan Virk, Sripal Bangalore, Zhen...
|
2020 |
514 |
8
|
| 70 |
Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images
Nada M. Elshennawy, Dina M. Ibrahim
|
2020 |
203 |
8
|
| 71 |
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
Pranav Rajpurkar, Chloe P. O’Connell, Amit Schechter, Nishit Asnani, J...
|
2020 |
136 |
8
|
| 72 |
An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images
Dingding Wang, Jiaqing Mo, Gang Zhou, Liang Xu, Yajun Liu
|
2020 |
112 |
8
|
| 73 |
Deep Learning-driven research for drug discovery: Tackling Malaria
Bruno Junior Neves, Rodolpho C. Braga, Vinícius M. Alves, Marília N....
|
2020 |
63 |
8
|
| 74 |
Matrix Factorization-based Technique for Drug Repurposing Predictions
Gaia Ceddia, Pietro Pinoli, Stefano Ceri, Marco Masseroli
|
2020 |
56 |
8
|
| 75 |
Machine Learning Algorithm Identifies an Antibiotic Vocabulary for Permeating Gram-Negative Bacteria
Rachael A. Mansbach, Inga V. Leus, Jitender Mehla, César A. López, Joh...
|
2020 |
34 |
8
|
| 76 |
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans
Onur Özdemir, Rebecca L. Russell, Andrew A. Berlin
|
2019 |
265 |
8
|
| 77 |
Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis
Shinya S. Suzuki, Takeshi Yamashita, Tsuyoshi Sakama, Takuto Arita, Na...
|
2019 |
69 |
8
|
| 78 |
Predicting High-Risk Prostate Cancer Using Machine Learning Methods
Henry Barlow, Shunqi Mao, Matloob Khushi
|
2019 |
55 |
8
|
| 79 |
Identification of Novel Antibacterials Using Machine Learning Techniques
Yan A. Ivanenkov, Alex A. Zhavoronkov, Renat S. Yamidanov, Ilya А. Ost...
|
2019 |
47 |
8
|
| 80 |
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18 F-FDG PET of the Brain
Yiming Ding, Jae Ho Sohn, Michael G. Kawczynski, Hari Trivedi, Roy J....
|
2018 |
574 |
8
|
| 81 |
Machine Learning Outperforms ACC/AHA CVD Risk Calculator in MESA
Ioannis A. Kakadiaris, Michalis Vrigkas, Albert A. Yen, Tatiana Kuznet...
|
2018 |
226 |
8
|
| 82 |
Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach
Worawate Ausawalaithong, Arjaree Thirach, Sanparith Marukatat, Theeraw...
|
2018 |
168 |
8
|
| 83 |
Prediction of survival and metastasis in breast cancer patients using machine learning classifiers
Leili Tapak, Nasrin Shirmohammadi‐Khorram, Payam Amini, Behnaz Alafchi...
|
2018 |
116 |
8
|
| 84 |
Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures
Daniel J. Mason, Richard T. Eastman, Richard P. I. Lewis, Ian P. Stott...
|
2018 |
42 |
8
|
| 85 |
Cardiovascular Event Prediction by Machine Learning
Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu, Kiang Liu, Willi...
|
2017 |
637 |
8
|
| 86 |
Computer Vision Malaria Diagnostic Systems—Progress and Prospects
Joseph Joel Pollak, Arnon Houri-Yafin, Seth J. Salpeter
|
2017 |
26 |
8
|
| 87 |
The Large Scale Machine Learning in an Artificial Society: Prediction of the Ebola Outbreak in Beijing
Peng Zhang, Bin Chen, Liang Ma, Zhen Li, Zhichao Song, Wei Duan, Xiaog...
|
2015 |
26 |
8
|
| 88 |
De novo design of peptide binders to conformationally diverse targets with contrastive language modeling
Suhaas Bhat, Kalyan Palepu, Lauren Hong, Yiwei Mao, Tianzheng Ye, Rema...
|
2025 |
64 |
7
|
| 89 |
Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson’s disease
Stefano Romano, Jakob Wirbel, Rebecca Ansorge, Christian Schudoma, Qui...
|
2025 |
61 |
7
|
| 90 |
Peptide-based drug design using generative AI
Srinivasan Ekambaram, Nikolay V. Dokholyan
|
2025 |
38 |
7
|
| 91 |
A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images
Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya
|
2025 |
54 |
7
|
| 92 |
Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study
Ziyao Meng, Zhouyu Guan, Shujie Yu, Yi-Lan Wu, Yaoning Zhao, Jie Shen,...
|
2025 |
47 |
7
|
| 93 |
A scoping review of artificial intelligence applications in clinical trial risk assessment
Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Borne...
|
2025 |
46 |
7
|
| 94 |
Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis
Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Xin Gao, Jun...
|
2025 |
45 |
7
|
| 95 |
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Comprehensive Review
Oluwaremilekun Zeth Tolu-Akinnawo, Francis Ezekwueme, Olukunle Samuel...
|
2025 |
40 |
7
|
| 96 |
Revolutionizing sepsis diagnosis using machine learning and deep learning models: a systematic literature review
Muhammad Zubair, Irfanud Din, Nadeem Sarwar, Elov Botir Boltayevich, S...
|
2025 |
29 |
7
|
| 97 |
Deep learning for electrocardiogram interpretation: Bench to bedside
Bas B.S. Schots, Camila S. Pizarro, Bauke K. O. Arends, Marish I.F.J....
|
2025 |
26 |
7
|
| 98 |
A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models
Feng Ren, Alex Aliper, Jian Chen, Heng Zhao, Sujata Rao, Christoph Kup...
|
2024 |
330 |
7
|
| 99 |
Almanac — Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Rohan Shad, Akash R. Chaurasia, Alex R. Dalal, Jennifer L...
|
2024 |
401 |
7
|
| 100 |
Matching patients to clinical trials with large language models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin...
|
2024 |
283 |
7
|
| 101 |
A foundation model for clinician-centered drug repurposing
Kexin Huang, Payal Chandak, Qianwen Wang, Shreyas Havaldar, Akhil Vaid...
|
2024 |
239 |
7
|
| 102 |
Prospective de novo drug design with deep interactome learning
Kenneth Atz, Leandro Cotos, Clemens Isert, M. Håkansson, Dorota Focht,...
|
2024 |
95 |
7
|
| 103 |
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model
Haohuai He, Bing He, Lei Guan, Yu Zhao, Feng Jiang, Guanxing Chen, Qin...
|
2024 |
69 |
7
|
| 104 |
Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts
Jintai Chen, Shuai Huang, Ying Zhang, Qing Hua Chang, Yixiao Zhang, Da...
|
2024 |
76 |
7
|
| 105 |
A reproducible ensemble machine learning approach to forecast dengue outbreaks
Alessandro Sebastianelli, Dario Spiller, Raquel Carmo, James Wheeler,...
|
2024 |
66 |
7
|
| 106 |
Early detection of dementia through retinal imaging and trustworthy AI
Jinkui Hao, William Robert Kwapong, Ting Shen, Huazhu Fu, Yanwu Xu, Qi...
|
2024 |
58 |
7
|
| 107 |
Morphological profiling for drug discovery in the era of deep learning
Qiaosi Tang, Ranjala Ratnayake, Gustavo de Miranda Seabra, Zhe Jiang,...
|
2024 |
46 |
7
|
| 108 |
Employing Raman Spectroscopy and Machine Learning for the Identification of Breast Cancer
Ya Zhang, Zheng Li, Zhongqiang Li, Huaizhi Wang, Dinkar Regmi, Jian Zh...
|
2024 |
15 |
7
|
| 109 |
Early prediction of sepsis in intensive care patients using the machine learning algorithm NAVOY® Sepsis, a prospective randomized clinical validation study
Inger Persson, Andreas Macura, David Becedas, Fredrik Sjövall
|
2024 |
43 |
7
|
| 110 |
Predicting malaria outbreak in The Gambia using machine learning techniques
Ousman Khan, Jimoh Olawale Ajadi, M. Pear Hossain
|
2024 |
36 |
7
|
| 111 |
Antibiotic discovery with artificial intelligence for the treatment of Acinetobacter baumannii infections
Yassir Boulaamane, Irene Molina Panadero, Abdelkrim Hmadcha, Celia Ata...
|
2024 |
33 |
7
|
| 112 |
Deep learning-based prediction of in-hospital mortality for sepsis
Li Yong, Liu Zhenzhou
|
2024 |
30 |
7
|
| 113 |
MAGPIE: accurate pathogenic prediction for multiple variant types using machine learning approach
Yicheng Liu, Tianyun Zhang, Ningyuan You, Sai Wu, Ning Shen
|
2024 |
31 |
7
|
| 114 |
Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique
Zia-ur-Rehman, Mohd Khalid Awang, Javed Rashid, Ghulam Ali, Muhammad H...
|
2024 |
30 |
7
|
| 115 |
Machine learning for early dynamic prediction of functional outcome after stroke
Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Emmanuel Carrera
|
2024 |
30 |
7
|
| 116 |
Machine Learning Approaches for Stroke Risk Prediction: Findings from the Suita Study
Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb S. Moh...
|
2024 |
30 |
7
|
| 117 |
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
Kingsley Friday Attai, Moses E. Ekpenyong, Constance Amannah, Daniel E...
|
2024 |
27 |
7
|
| 118 |
Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review
Flavia Grignaffini, Patrizio Simeoni, Anna Alisi, Fabrizio Frezza
|
2024 |
22 |
7
|
| 119 |
Accurate proteome-wide missense variant effect prediction with AlphaMissense
Jun Cheng, Guido Novati, Joshua Pan, Clare Bycroft, Akvilė Žemgulytė,...
|
2023 |
2,095 |
7
|
| 120 |
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, JASON KAI WEI...
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2023 |
3,955 |
7
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| 121 |
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects
Lennart R. Koetzier, Domenico Mastrodicasa, Timothy P. Szczykutowicz,...
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2023 |
426 |
7
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| 122 |
Genome-wide prediction of disease variant effects with a deep protein language model
Nadav Brandes, Grant Goldman, Charlotte H. Wang, Chun Ye, Vasilis Ntra...
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2023 |
421 |
7
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| 123 |
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano,...
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2023 |
124 |
7
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| 124 |
Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review
Stewart Muchuchuti, Serestina Viriri
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2023 |
136 |
7
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| 125 |
A Deep Learning-Based Ensemble Method for Early Diagnosis of Alzheimer’s Disease using MRI Images
Sina Fathi, Ali Ahmadi, Afsaneh Dehnad, Mostafa Almasi‐Dooghaee, Melik...
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2023 |
95 |
7
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| 126 |
Joint Diagnosis of Pneumonia, COVID-19, and Tuberculosis from Chest X-ray Images: A Deep Learning Approach
Mohammed Salih Ahmed, Atta Rahman, Faris AlGhamdi, Saleh AlDakheel, Ha...
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2023 |
86 |
7
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| 127 |
Applications of artificial intelligence in clinical laboratory genomics
Swaroop Aradhya, Flavia M. Facio, Hillery C. Metz, Toby R. Manders, Al...
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2023 |
56 |
7
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| 128 |
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
Anila Sebastian, Omar Elharrouss, Somaya Ali Al-Maadeed, Noor Almaadee...
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2023 |
110 |
7
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| 129 |
Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning
Walid Ben Elmir, Hemmak Allaoua, Benaoumeur Senouci
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2023 |
65 |
7
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| 130 |
Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart Project
Katarzyna Nabrdalik, Hanna Kwiendacz, Karolina Drożdż, Krzysztof Irlik...
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2023 |
32 |
7
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| 131 |
Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing
Sakshi Gautam, Anamika Thakur, Akanksha Rajput, Manoj Kumar
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2023 |
30 |
7
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| 132 |
Machine learning applications on neonatal sepsis treatment: a scoping review
Colleen O’Sullivan, Daniel Hsiang‐Te Tsai, Ian Chang-Yen Wu, Emanuela...
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2023 |
29 |
7
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| 133 |
A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study
Carol Yim-lui Cheung, An Ran Ran, Shujun Wang, Victor T.T. Chan, Kaise...
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2022 |
264 |
7
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| 134 |
AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens
Chenkai Li, Darcy Sutherland, S. Austin Hammond, Chen Yang, Figali Tah...
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2022 |
221 |
7
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| 135 |
MetaRNN: differentiating rare pathogenic and rare benign missense SNVs and InDels using deep learning
Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu
|
2022 |
190 |
7
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| 136 |
Deep Learning in Multi-Class Lung Diseases’ Classification on Chest X-ray Images
Sungyeup Kim, Beanbonyka Rim, Seongjun Choi, Ahyoung Lee, Se Dong Min,...
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2022 |
143 |
7
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| 137 |
Alzheimer’s disease diagnosis and classification using deep learning techniques
Waleed A. Al Shehri
|
2022 |
122 |
7
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| 138 |
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Suzanne C. Wetstein, Vincent M. T. de Jong, Nikolas Stathonikos, Mark...
|
2022 |
103 |
7
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| 139 |
Analysis of missense variants in the human genome reveals widespread gene-specific clustering and improves prediction of pathogenicity
Mathieu Quinodoz, Virginie G. Peter, Katarina Cisarova, Béryl Royer‐Be...
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2022 |
89 |
7
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| 140 |
Deep Learning for Bone Mineral Density and T-Score Prediction from Chest X-rays: A Multicenter Study
Yoichi Sato, Norio Yamamoto, Naoya Inagaki, Yusuke Iesaki, Takamune As...
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2022 |
84 |
7
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| 141 |
Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics
Prashanth Ramachandran, Akshaya Ramesh, Fiona V Cresswell, Anne E. Wap...
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2022 |
82 |
7
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| 142 |
Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy
Philippe C. Wouters, Rutger R van de Leur, Melle B. Vessies, Antonius...
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2022 |
57 |
7
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| 143 |
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study
Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP
|
2022 |
51 |
7
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| 144 |
Prediction of incident cardiovascular events using machine learning and CMR radiomics
Esmeralda Ruiz Pujadas, Zahra Raisi‐Estabragh, Liliána Erzsébet Szabó,...
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2022 |
47 |
7
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| 145 |
A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery
A. S. M. Zisanur Rahman, Chengyou Liu, Hunter Sturm, Andrew M. Hogan,...
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2022 |
47 |
7
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| 146 |
Artificial Intelligence-Enabled Electrocardiogram Improves the Diagnosis and Prediction of Mortality in Patients With Pulmonary Hypertension
Chih‐Min Liu, Edward S.C. Shih, Jhih-Yu Chen, Chih-Han Huang, I‐Chien...
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2022 |
46 |
7
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| 147 |
Machine learning for optimized individual survival prediction in resectable upper gastrointestinal cancer
Jin‐On Jung, Nerma Crnovrsanin, Naita Maren Wirsik, Henrik Nienhüser,...
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2022 |
45 |
7
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| 148 |
Deep learning-based framework for slide-based histopathological image analysis
Sai Kosaraju, Jeongyeon Park, Hyun Jung Lee, Jung Wook Yang, Mingon Ka...
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2022 |
44 |
7
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| 149 |
Application of Deep Learning in Histopathology Images of Breast Cancer: A Review
Yue Zhao, Jie Zhang, Dayu Hu, Hui Yan Qu, Ye Tian, Xiaoyu Cui
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2022 |
42 |
7
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| 150 |
Multi-Method Diagnosis of CT Images for Rapid Detection of Intracranial Hemorrhages Based on Deep and Hybrid Learning
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Me...
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2022 |
41 |
7
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| 151 |
Performance effectiveness of vital parameter combinations for early warning of sepsis—an exhaustive study using machine learning
Ekanath Srihari Rangan, Rahul Krishnan Pathinarupothi, Kanwaljeet J. S...
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2022 |
25 |
7
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| 152 |
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gen...
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2021 |
823 |
7
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| 153 |
Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
Varnavas D. Mouchlis, Antreas Afantitis, Angela Serra, Michele Fratell...
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2021 |
352 |
7
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| 154 |
CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores
Philipp Rentzsch, Max Schubach, Jay Shendure, Martin Kircher
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2021 |
637 |
7
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| 155 |
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
Ling‐Ping Cen, Jie Ji, Jianwei Lin, Si-Tong Ju, Hong-Jie Lin, Tai-Ping...
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2021 |
346 |
7
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| 156 |
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, Aisha B Rahman, Md...
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2021 |
293 |
7
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| 157 |
Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
Steve Rodriguez, Clemens B. Hug, Petar V. Todorov, Nienke Moret, Sarah...
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2021 |
293 |
7
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| 158 |
Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling
Irum Hirra, Mubashir Ahmad, Ayaz Hussain, Muhammad Usman Ashraf, Iftik...
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2021 |
272 |
7
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| 159 |
A generalized deep learning framework for whole-slide image segmentation and analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar, Ganapathy Krishnamurthi...
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2021 |
239 |
7
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| 160 |
MVP predicts the pathogenicity of missense variants by deep learning
Hongjian Qi, Haicang Zhang, Yige Zhao, Chen Chen, John J. Long, Wendy...
|
2021 |
198 |
7
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| 161 |
Robust whole slide image analysis for cervical cancer screening using deep learning
Shenghua Cheng, Sibo Liu, Jingya Yu, Gong Rao, Yuwei Xiao, Wei Han, We...
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2021 |
195 |
7
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| 162 |
A deep learning algorithm for automatic detection and classification of acute intracranial hemorrhages in head CT scans
Xiyue Wang, Tao Shen, Sen Yang, Jun Lan, Yanming Xu, Minghui Wang, Jin...
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2021 |
192 |
7
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| 163 |
Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram
Dongdong Zhang, Samuel Yang, Xiaohui Yuan, Ping Zhang
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2021 |
189 |
7
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| 164 |
Prediction of dengue outbreak in Selangor Malaysia using machine learning techniques
Nurul Azam Mohd Salim, Yap Bee Wah, Caitlynn Reeves, Madison Smith, Wa...
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2021 |
142 |
7
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| 165 |
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
Fetulhak Abdurahman, Kinde Anlay Fante, Mohammed Aliy Mohammed
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2021 |
139 |
7
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| 166 |
Random forest-based prediction of stroke outcome
Carlos Fernandez-Lozano, Pablo Hervella, Virginia Mato‐Abad, Manuel Ro...
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2021 |
130 |
7
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| 167 |
Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram
Akhil Vaid, Kipp W. Johnson, Marcus A. Badgeley, Sulaiman S. Somani, M...
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2021 |
124 |
7
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| 168 |
Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning
Hui Yan Qu, Mu Zhou, Zhennan Yan, He Wang, Vinod K. Rustgi, Shaoting Z...
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2021 |
117 |
7
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| 169 |
DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration
Yongcui Wang, Yingxi Yang, Shilong Chen, Jiguang Wang
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2021 |
85 |
7
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| 170 |
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction
Itzhak Zachi Attia, Andrew S. Tseng, Ernest Diez Benavente, José R. Me...
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2021 |
80 |
7
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| 171 |
Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models
Longxiang Su, Xu Zheng, Fengxiang Chang, Yingying Ma, Shengjun Liu, Hu...
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2021 |
75 |
7
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| 172 |
The Immune Subtypes and Landscape of Gastric Cancer and to Predict Based on the Whole-Slide Images Using Deep Learning
Yan Chen, Zepang Sun, Wanlan Chen, Changyan Liu, Ruoyang Chai, Jingjin...
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2021 |
71 |
7
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| 173 |
Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy
Thiraphat Tanphiriyakun, Sattaya Rojanasthien, Piyapong Khumrin
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2021 |
39 |
7
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| 174 |
Diagnostic assessment of deep learning for melanocytic lesions using whole-slide pathological images
Wei Ba, Rui Wang, Guang Yin, Zhigang Song, Jinyi Zou, Cheng Zhong, Jin...
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2021 |
37 |
7
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| 175 |
Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms
Xiehui Chen, Wenqin Guo, Lingyue Zhao, Weichao Huang, Lili Wang, Aimei...
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2021 |
36 |
7
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| 176 |
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models
Dominik Müller, Iñaki Soto‐Rey, Frank Krämer
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2021 |
35 |
7
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| 177 |
Predicting malaria epidemics in Burkina Faso with machine learning
David Harvey, Wessel Valkenburg, Amara Amara
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2021 |
34 |
7
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| 178 |
Deep learning detects heart failure with preserved ejection fraction using a baseline electrocardiogram
Matthias Unterhuber, Karl‐Philipp Rommel, Karl‐Patrik Kresoja, Julia A...
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2021 |
31 |
7
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| 179 |
Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost
Nianzong Hou, Mingzhe Li, Lu He, Bing Xie, Lin Wang, Rumin Zhang, Yong...
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2020 |
568 |
7
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| 180 |
Skin Lesions Classification Into Eight Classes for ISIC 2019 Using Deep Convolutional Neural Network and Transfer Learning
Mohamed A. A. Kassem, Khalid Mohamed Hosny, Mohamed Mahmoud Fouad
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2020 |
407 |
7
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| 181 |
Deep learning-based survival prediction for multiple cancer types using histopathology images
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu...
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2020 |
265 |
7
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| 182 |
Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning
Mingyu Chen, Bin Zhang, Win Topatana, Jiasheng Cao, He-pan Zhu, Sarun...
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2020 |
244 |
7
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| 183 |
Deep Learning for Lung Cancer Nodules Detection and Classification in CT Scans
Diego Riquelme, Moulay A. Akhloufi
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2020 |
202 |
7
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| 184 |
Deep Learning for Hemorrhagic Lesion Detection and Segmentation on Brain CT Images
Lu Li, Wei Meng, Bo Liu, Kunakorn C. Atchaneeyasakul, Fugen Zhou, Zeha...
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2020 |
171 |
7
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| 185 |
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019
Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao...
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2020 |
157 |
7
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| 186 |
Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer
Alona Levy-Jurgenson, Xavier Tekpli, Vessela Nedelcheva Kristensen, Zo...
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2020 |
155 |
7
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| 187 |
Artificial Intelligence Tool for Optimizing Eligibility Screening for Clinical Trials in a Large Community Cancer Center
Joseph Thaddeus Beck, Melissa Rammage, Gretchen Purcell Jackson, Anita...
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2020 |
127 |
7
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| 188 |
Detection and classification of intracranial haemorrhage on CT images using a novel deep-learning algorithm
Ji Young Lee, Jong Soo Kim, Tae Yoon Kim, Young Soo Kim
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2020 |
119 |
7
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| 189 |
Automated detection of cardiovascular disease by electrocardiogram signal analysis: a deep learning system
Xin Zhang, Kai Gu, Shumei Miao, Xiaoliang Zhang, Yuechuchu Yin, Cheng...
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2020 |
81 |
7
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| 190 |
Knowledge-driven drug repurposing using a comprehensive drug knowledge graph
Yongjun Zhu, Chao Che, Bo Jin, Ningrui Zhang, Chang Su, Fei Wang
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2020 |
73 |
7
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| 191 |
Machine learning-guided discovery and design of non-hemolytic peptides
Fabien Plisson, Obed Ramírez‐Sánchez, Cristina Martínez-Hernández
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2020 |
148 |
7
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| 192 |
Machine learning for predicting cardiac events: what does the future hold?
Brijesh D. Patel, Partho P. Sengupta
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2020 |
46 |
7
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| 193 |
Intracranial Hemorrhage Detection in CT Scans using Deep Learning
Tomasz Lewick, Meera Kumar, Raymond Hong, Wencen Wu
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2020 |
36 |
7
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| 194 |
Classification of Dermoscopy Skin Lesion Color-Images Using Fractal-Deep Learning Features
Edgar Omar Molina-Molina, Selene Solorza-Calderón, Josué Álvarez-Borre...
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2020 |
36 |
7
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| 195 |
Faculty Opinions recommendation of A clinically applicable approach to continuous prediction of future acute kidney injury.
Kevin Yuk-Lap Yip
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2019 |
n/a |
7
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| 196 |
Breast cancer outcome prediction with tumour tissue images and machine learning
Riku Turkki, Dmitrii Bychkov, Mikael Lundin, Jorma J Isola, Stig Nordl...
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2019 |
130 |
7
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| 197 |
Machine learning-powered antibiotics phenotypic drug discovery
Sannah Zoffmann, Maarten Vercruysse, Fethallah Benmansour, Andreas Mau...
|
2019 |
111 |
7
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| 198 |
Pediatric Severe Sepsis Prediction Using Machine Learning
Sidney Le, Jana L. Hoffman, Christopher Barton, Julie C. Fitzgerald, A...
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2019 |
110 |
7
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| 199 |
Machine Learning and Deep Learning Approaches in Breast Cancer Survival Prediction Using Clinical Data
Elham Yousef Kalafi, Nurul Aqilah Mohd Nor, Nur Aishah Mohd Taib, Moga...
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2019 |
108 |
7
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| 200 |
Machine learning to predict cardiovascular risk
José A. Quesada, Adriana López‐Pineda, Vicente Francisco Gil-Guillén,...
|
2019 |
104 |
7
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| 201 |
Prediction of Colon Cancer Stages and Survival Period with Machine Learning Approach
Pushpanjali Gupta, Sum-Fu Chiang, Prasan Kumar Sahoo, Suvendu Kumar Mo...
|
2019 |
100 |
7
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| 202 |
On classifying sepsis heterogeneity in the ICU: insight using machine learning
Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard Dobs...
|
2019 |
73 |
7
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| 203 |
Mortality Prediction of Septic Patients in the Emergency Department Based on Machine Learning
Jau‐Woei Perng, I-Hsi Kao, Chia‐Te Kung, Shih-Chiang Hung, Yi-Horng La...
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2019 |
65 |
7
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| 204 |
Lung Cancer Detection and Classification Using Deep Learning
Ruchita Tekade, K. Rajeswari
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2018 |
158 |
7
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| 205 |
Classification of retinal images with deep learning for early detection of diabetic retinopathy disease
Nursel Yalçın, Seyfullah Alver, Necla Uluhatun
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2018 |
43 |
7
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| 206 |
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes
Daniel Shu Wei Ting, Carol Yim-lui Cheung, Gilbert Lim, Gavin Siew Wei...
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2017 |
2,383 |
7
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| 207 |
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Meht...
|
2017 |
1,220 |
7
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| 208 |
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Ángel Cruz-Roa, Hannah L. Gilmore, Ajay N. Basavanhally, Michael D. Fe...
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2017 |
532 |
7
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| 209 |
Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning
Michael D. Abràmoff, Yiyue Lou, Ali Erginay, Warren Clarida, Ryan E. A...
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2016 |
1,095 |
7
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| 210 |
Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
Richard Andrew Taylor, Joseph R. Pare, Arjun K. Venkatesh, Hani O. Mow...
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2015 |
491 |
7
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| 211 |
Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore
Yuan Shi, Xu Liu, Suet Yheng Kok, Jayanthi Rajarethinam, Shaohong Lian...
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2015 |
140 |
7
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| 212 |
Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties
Michael P. Menden, Francesco Iorio, Mathew J. Garnett, Ultan McDermott...
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2013 |
543 |
7
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| 213 |
Discovery of EP4 antagonists with image-guided explainable deep learning workflow
Pengsen Ma, Zhiyuan Cheng, Zhixiang Cheng, Yijie Wang, Xiaolei Chai, B...
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2025 |
1 |
6
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| 214 |
Current applications and challenges in large language models for patient care: a systematic review
Felix Busch, Lena Hoffmann, Christopher Rueger, Elon H. C. van Dijk, R...
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2025 |
342 |
6
|
| 215 |
Best practices for developing microbiome-based disease diagnostic classifiers through machine learning
P Li, Min Li, Wei‐Hua Chen
|
2025 |
33 |
6
|
| 216 |
Artificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations
Sarah A. Mess, Alison Mackey, David Yarowsky
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2025 |
82 |
6
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| 217 |
Evaluating Diagnostic Accuracy and Treatment Efficacy in Mental Health: A Comparative Analysis of Large Language Model Tools and Mental Health Professionals
Inbar Levkovich
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2025 |
29 |
6
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| 218 |
A machine learning approach for multimodal data fusion for survival prediction in cancer patients
Νικόλαος Νικολάου, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalv...
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2025 |
35 |
6
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| 219 |
Classifying and diagnosing Alzheimer’s disease with deep learning using 6735 brain MRI images
Seyed Mohammad Mousavi, Khadijeh Moulaei, Leila Ahmadian
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2025 |
33 |
6
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| 220 |
Implementation of large language models in electronic health records
Maxime Griot, Jean M. Vanderdonckt, Demet Yüksel
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2025 |
22 |
6
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| 221 |
Drug-drug interactions prediction based on deep learning and knowledge graph: A review
Huimin Luo, Weijie Yin, Jianlin Wang, Ge Zhang, Wenjuan Liang, Junwei...
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2024 |
102 |
6
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| 222 |
Polymer design via SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery
Rishad J. Dalal, Felipe Oviedo, Michael C. Leyden, Theresa M. Reineke
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2024 |
47 |
6
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| 223 |
Deep learning for accelerated and robust MRI reconstruction
Reinhard Heckel, Mathews Jacob, Akshay Sanjay Chaudhari, Or Perlman, E...
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2024 |
119 |
6
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| 224 |
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review
Xiaoran Lu, Yang Chen, Lu Liang, Guanyu Hu, Ziyi Zhong, Zihao Jiang
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2024 |
76 |
6
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| 225 |
Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation
Shi Zhou, Zongqing Lu, Yu Liu, Minjie Wang, Wuming Zhou, Xuanxuan Cui,...
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2024 |
52 |
6
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| 226 |
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology
Marco Gustav, Nic Gabriel Reitsam, Zunamys Itzell Carrero, Chiara Mari...
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2024 |
38 |
6
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| 227 |
Enhancing missense variant pathogenicity prediction with protein language models using VariPred
Weining Lin, Jude Wells, Zeyuan Wang, Christine A. Orengo, Andrew C.R....
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2024 |
34 |
6
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| 228 |
Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies
Jérémy Hofmeister, Nicolás Garin, Xavier Montet, Max Scheffler, Alexan...
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2024 |
25 |
6
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| 229 |
CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions
Max Schubach, Thorben Maaß, Lusiné Nazaretyan, Sebastian Röner, Martin...
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2023 |
440 |
6
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| 230 |
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer
Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel
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2023 |
127 |
6
|
| 231 |
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI
Patricia M. Johnson, Dana J. Lin, Jure Žbontar, C. Lawrence Zitnick, A...
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2023 |
122 |
6
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| 232 |
A Deep Learning-Based Framework for Retinal Disease Classification
Amit Choudhary, Savita Ahlawat, Shabana Urooj, Nitish Pathak, A. Lay-E...
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2023 |
103 |
6
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| 233 |
Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis
Ronald Chow, Julie Midroni, Jagdeep Kaur, Gabriel Boldt, Geoffrey Liu,...
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2023 |
64 |
6
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| 234 |
Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, Cosimo Distante, Andrea...
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2023 |
62 |
6
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| 235 |
Identification of pathogens and detection of antibiotic susceptibility at single-cell resolution by Raman spectroscopy combined with machine learning
Weilai Lu, Haifei Li, Haoning Qiu, Lu Wang, Jie Feng, Yu Vincent Fu
|
2023 |
45 |
6
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| 236 |
Deep structured learning for variant prioritization in Mendelian diseases
Matt Christopher Danzi, Maike Franziska Dohrn, Sarah Fazal, Danique Be...
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2023 |
43 |
6
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| 237 |
Deep learning integrates histopathology and proteogenomics at a pan-cancer level
Joshua M. Wang, Runyu Hong, Elizabeth G. Demicco, Jimin Tan, Rossana L...
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2023 |
41 |
6
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Image based deep learning in 12-lead ECG diagnosis
Raymond Ao, George He
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2023 |
41 |
6
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| 239 |
Learning to predict RNA sequence expressions from whole slide images with applications for search and classification
Areej Alsaafin, Amir Safarpoor, Milad Sikaroudi, Jason Hipp, Hamid R....
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2023 |
40 |
6
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Deep Transfer Learning for Chronic Obstructive Pulmonary Disease Detection Utilizing Electrocardiogram Signals
Inanc Moran, D. Turgay Altılar, Muhammed Kürşad Uçar, Cahit Bílgín, Me...
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2023 |
38 |
6
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A Systematic Review and Meta-Analysis of Applying Deep Learning in the Prediction of the Risk of Cardiovascular Diseases From Retinal Images
Wenyi Hu, Fabian S. L. Yii, Ruiye Chen, Xinyu Zhang, Xianwen Shang, Ka...
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2023 |
36 |
6
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Deep-learning based breast cancer detection for cross-staining histopathology images
Pei‐Wen Huang, Hsu Ouyang, Bang-Yi Hsu, Yu-Ruei Chang, Yu-Chieh Lin, Y...
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2023 |
32 |
6
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Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
Joonwon Lee, Kang Min Park, Seong-Ho Park
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2023 |
33 |
6
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Faecal microbiome-based machine learning for multi-class disease diagnosis
Qi Su, Qin Liu, Raphaela Iris Lau, Jingwan Zhang, Zhilu Xu, Yun Kit Ye...
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2022 |
133 |
6
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Single-cell multiome of the human retina and deep learning nominate causal variants in complex eye diseases
Sean K. Wang, Surag Nair, Rui Li, Katerina Kraft, Anusri Pampari, Aman...
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2022 |
88 |
6
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Swarm learning for decentralized artificial intelligence in cancer histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline...
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2022 |
224 |
6
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A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification
Natasha Nigar, Muhammad Umar, Muhammad Kashif Shahzad, Shahid Islam, D...
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2022 |
178 |
6
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Interpretable Machine Learning for Early Prediction of Prognosis in Sepsis: A Discovery and Validation Study
Chang Hu, Lu Li, Weipeng Huang, Tong Wu, Qiancheng Xu, Juan Liu, Bo Hu
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2022 |
159 |
6
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Multimodal deep learning applied to classify healthy and disease states of human microbiome
Seung Jae Lee, Mina Rho
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2022 |
51 |
6
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Fast and scalable search of whole-slide images via self-supervised deep learning
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Chen, Andre...
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2022 |
126 |
6
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A Goldilocks Principle for the Gut Microbiome: Taxonomic Resolution Matters for Microbiome-Based Classification of Colorectal Cancer
Courtney R. Armour, Begüm D. Topçuoğlu, Andrea Garretto, Patrick D. Sc...
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2022 |
35 |
6
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State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review
Γεώργιος Πετμεζάς, Leandros Stefanopoulos, Vassilis Kilintzis, Andreas...
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2022 |
106 |
6
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Generative deep learning enables the discovery of a potent and selective RIPK1 inhibitor
Yueshan Li, Liting Zhang, Yifei Wang, Jun Zou, Ruicheng Yang, Xinling...
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2022 |
101 |
6
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A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies
Nitin Singhal, Shailesh Mahendra Soni, Saikiran Bonthu, Nilanjan Chatt...
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2022 |
92 |
6
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A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images
Fahdi Kanavati, Naoki Hirose, Takahiro Ishii, Ayaka Fukuda, Shin Ichih...
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2022 |
91 |
6
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Assessment of deep learning assistance for the pathological diagnosis of gastric cancer
Wei Ba, Shuhao Wang, Meixia Shang, Ziyan Zhang, Huan Gan Wu, Chunkai Y...
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2022 |
76 |
6
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| 257 |
Multimodal survival prediction in advanced pancreatic cancer using machine learning
Julius Keyl, Stefan Kasper, Marcel Wiesweg, Julian Götze, Martin Schön...
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2022 |
53 |
6
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Accurate Diagnosis and Survival Prediction of Bladder Cancer Using Deep Learning on Histological Slides
Qingyuan Zheng, Rui Yang, Xinmiao Ni, Song Soo Yang, Lin Xiong, Dandan...
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2022 |
51 |
6
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A novel approach for skin lesion symmetry classification with a deep learning model
Lidia Talavera-Martínez, Pedro Bibiloni, Aniza Giacaman, R. Taberner,...
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2022 |
35 |
6
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Prediction and risk assessment of sepsis-associated encephalopathy in ICU based on interpretable machine learning
Lu Xiao, Hongyu Kang, Dawei Zhou, Qin Li
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2022 |
30 |
6
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Deep learning for survival analysis in breast cancer with whole slide image data
Huidong Liu, Tahsin Kurç
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2022 |
29 |
6
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| 262 |
A Deep Learning Model for Prostate Adenocarcinoma Classification in Needle Biopsy Whole-Slide Images Using Transfer Learning
Masayuki Tsuneki, Makoto Abe, Fahdi Kanavati
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2022 |
30 |
6
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Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning
Takahiro Kokubo, Satoshi Kodera, Shinnosuke Sawano, Susumu Katsushika,...
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2022 |
27 |
6
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Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video
Dhiraj J. Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Un...
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2022 |
26 |
6
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Performance of Machine Learning for Tissue Outcome Prediction in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis
Xinrui Wang, Yi‐Ming Fan, Nan Zhang, Jing Li, Yang Duan, Benqiang Yang
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2022 |
23 |
6
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A Focus on the Role of DSC-PWI Dynamic Radiomics Features in Diagnosis and Outcome Prediction of Ischemic Stroke
Yingwei Guo, Yingjian Yang, Fengqiu Cao, Mingming Wang, Yu Luo, Jia Gu...
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2022 |
23 |
6
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Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review
Clarisse Lins de Lima, Ana Clara Gomes da Silva, Giselle Machado Magal...
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2022 |
23 |
6
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A comparison of machine learning algorithms for diabetes prediction
Jobeda Jamal Khanam, Simon Y. Foo
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2021 |
490 |
6
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Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
Xiaodong Wang, Ying Chen, Yunshu Gao, Huiqing Zhang, Zehui Guan, Zhou...
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2021 |
186 |
6
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Clinical use of machine learning‐based pathomics signature for diagnosis and survival prediction of bladder cancer
Siteng Chen, Liren Jiang, Xinyi Zheng, Jialiang Shao, Tao Wang, Enchen...
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2021 |
100 |
6
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Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram
M. Ganeshkumar, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, Som...
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2021 |
85 |
6
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Deep learning analysis of electrocardiogram for risk prediction of drug-induced arrhythmias and diagnosis of long QT syndrome
Edi Prifti, Ahmad Fall, Giovanni Davogustto, Alfredo Pulini, Isabelle...
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2021 |
83 |
6
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Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening
Ji Wang, Jie Ji, Mingzhi Zhang, Jianwei Lin, Guihua Zhang, Weifen Gong...
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2021 |
83 |
6
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Machine learning-based prediction of survival prognosis in cervical cancer
Dongyan Ding, Tingyuan Lang, Dongling Zou, Jiawei Tan, Jia Chen, Lei Z...
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2021 |
53 |
6
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A Deep Learning–Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome
Chih‐Min Liu, Chien‐Liang Liu, Kai-Wen Hu, Vincent S. M. Tseng, Shih‐L...
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2021 |
55 |
6
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Deep learning analysis of resting electrocardiograms for the detection of myocardial dysfunction, hypertrophy, and ischaemia: a systematic review
Ghalib Al Hinai, Samer Jammoul, Zara Vajihi, Jonathan Afilalo
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2021 |
52 |
6
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Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning model
Demilade A. Adedinsewo, Patrick W. Johnson, Erika J. Douglass, Itzhak...
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2021 |
47 |
6
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Determining a minimum set of variables for machine learning cardiovascular event prediction: results from REFINE SPECT registry
Richard Ríos, Robert J.H. Miller, Lien-Hsin Hu, Yuka Otaki, Ananya Sin...
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2021 |
42 |
6
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Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms
Jeroen F Vranken, Rutger R van de Leur, Deepak Kumar Gupta, Luis Eduar...
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2021 |
41 |
6
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3Cnet: pathogenicity prediction of human variants using multitask learning with evolutionary constraints
Dhong‐gun Won, Dongwook Kim, Junwoo Woo, Kyoungyeul Lee
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2021 |
39 |
6
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Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images
Anil Johny, K. N. Madhusoodanan
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2021 |
30 |
6
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Automated machine learning for endemic active tuberculosis prediction from multiplex serological data
Hooman H. Rashidi, Luke T. Dang, Samer Albahra, Resmi K. Ravindran, Im...
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2021 |
22 |
6
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Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Abdullah Khandakar, K...
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2020 |
638 |
6
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A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder
Ningfei Li, Juan Carlos Baldermann, Astrid Kibleur, Svenja Treu, Harit...
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2020 |
316 |
6
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A deep learning model to predict RNA-Seq expression of tumours from whole slide images
Benoît Schmauch, Alberto Romagnoni, Elodie Pronier, Charlie Saillard,...
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2020 |
525 |
6
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Early detection of type 2 diabetes mellitus using machine learning-based prediction models
Leon Kopitar, Primož Kocbek, Leona Cilar, Aziz Sheikh, Gregor Štiglic
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2020 |
366 |
6
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Deep learning and the electrocardiogram: review of the current state-of-the-art
Sulaiman S. Somani, Adam J. Russak, Felix Richter, Shan Zhao, Akhil Va...
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2020 |
263 |
6
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Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures
Jose A. Almaraz-Damian, Volodymyr I. Ponomaryov, Sergiy Sadovnychiy, H...
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2020 |
172 |
6
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A Machine Learning Approach for the Differential Diagnosis of Alzheimer and Vascular Dementia Fed by MRI Selected Features
Gloria Castellazzi, Maria Giovanna Cuzzoni, Matteo Cotta Ramusino, Dan...
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2020 |
133 |
6
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An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction
Nicola Pezzotti, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus F...
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2020 |
136 |
6
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Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning
Charlotte Syrykh, Arnaud Abreu, Nadia Amara, Aurore Siegfried, V. Mais...
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2020 |
115 |
6
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Rhapsody: predicting the pathogenicity of human missense variants
Luca Ponzoni, Daniel Peñaherrera, Zoltán N. Oltvai, İvet Bahar
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2020 |
101 |
6
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Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients
Marliese Alexander, Benjamin J. Solomon, David Ball, M. Sheerin, Iren...
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2020 |
85 |
6
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Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images
Maxime Blain, Michael T. Kassin, Nicole Varble, Xiaosong Wang, Ziyue X...
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2020 |
61 |
6
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Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions
Xiaolei Zhang, Roddy Walsh, Nicola Whiffin, Rachel J. Buchan, William...
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2020 |
63 |
6
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Deep Learning–Based Detection of Early Renal Function Impairment Using Retinal Fundus Images: Model Development and Validation
Eugene Yu‐Chuan Kang, Yi‐Ting Hsieh, Chien‐Hung Li, Yijin Huang, Chang...
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2020 |
56 |
6
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A Deep-Learning View of Chemical Space Designed to Facilitate Drug Discovery
Paul Maragakis, Hunter M. Nisonoff, Brian Cole, David Elliot Shaw
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2020 |
41 |
6
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IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms
Liyang Wang, Yao Mu, Jing Zhao, Xiaoya Wang, Huilian Che
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2020 |
40 |
6
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Machine Learning Explainability in Breast Cancer Survival
Tom Jansen, Gijs Geleijnse, Van Maaren Marissa, Mathijs P. Hendriks, A...
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2020 |
38 |
6
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Posterior circulation stroke: machine learning-based detection of early ischemic changes in acute non-contrast CT scans
Helge C. Kniep, Peter Bernhard Sporns, Gabriel Broocks, André Kemmling...
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2020 |
36 |
6
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A Deep CNN Technique for Detection of Breast Cancer Using Histopathology Images
Gitanjali Wadhwa, Amandeep Kaur
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2020 |
24 |
6
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Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsoug...
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2019 |
408 |
6
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Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram
Conner D. Galloway, Alexander V. Valys, Jacqueline Baras Shreibati, Da...
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2019 |
318 |
6
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RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
Hrvoje Bogunović, Freerk G. Venhuizen, Sophie Riedl, Stefanos Apostolo...
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2019 |
273 |
6
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Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM)
R. D. Seeja, A. Suresh
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2019 |
156 |
6
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Deep Learning Models for Retinal Blood Vessels Segmentation: A Review
Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro...
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2019 |
155 |
6
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Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods
E Sun Paik, Jeong‐Won Lee, Jeong‐Yeol Park, Ju-Hyun Kim, Mijung Kim, T...
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2019 |
75 |
6
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Application of Machine Learning Models for Survival Prognosis in Breast Cancer Studies
Iliyan Mihaylov, Maria M. Nisheva-Pavlova, Dimitar I. Vassilev
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2019 |
56 |
6
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Deep learning for undersampled MRI reconstruction
Chang Min Hyun, Hwa Pyung Kim, Sung Min Lee, Sungchul Lee, Jin Keun Se...
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2018 |
429 |
6
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RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Var...
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2018 |
213 |
6
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Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
Sergii Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Yuri...
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2018 |
109 |
6
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| 312 |
Data augmentation importance for classification of skin lesions via deep learning
Enes Ayan, Halil Murat Ünver
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2018 |
77 |
6
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| 313 |
Lung Cancer Survival Prediction via Machine Learning Regression, Classification, and Statistical Techniques
James A. Bartholomai, Hermann B. Frieboes
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2018 |
61 |
6
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| 314 |
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning
Steven Horng, David A. Sontag, Yoni Halpern, Yacine Jernite, Nathan Iv...
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2017 |
308 |
6
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Developing a dengue forecast model using machine learning: A case study in China
Pi Guo, Tao Liu, Qin Zhang, Li Wang, Jianpeng Xiao, Qingying Zhang, Ga...
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2017 |
263 |
6
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A method for classifying medical images using transfer learning: A pilot study on histopathology of breast cancer
Jongwon Chang, Jisang Yu, Taehwa Han, Hyuk‐Jae Chang, Eunjeong Park
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2017 |
115 |
6
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Multivariate Analysis and Machine Learning in Cerebral Palsy Research
Jing Zhang
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2017 |
32 |
6
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Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
Jun Xu, Lei Xiang, Qingshan Liu, Hannah L. Gilmore, Jianzhong Wu, Tang...
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2015 |
851 |
6
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Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry
Sunil Gupta, Truyen Tran, Wei Luo, Dinh Phung, Richard Lee Kennedy, A....
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2014 |
118 |
6
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The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureus
Joana Rosado Coelho, João André Carriço, Daniel R. Knight, José Luis M...
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2013 |
52 |
6
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LLM-assisted systematic review of large language models in clinical medicine
Sully F. Chen, Anton Alyakin, Andreas Seas, Eunice Yang, Joanne J. Cho...
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2026 |
67 |
5
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The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review
Dmitry Scherbakov, Nina Hubig, Vinita Gangaram Jansari, Alexander Baku...
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2025 |
145 |
5
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Clinical Large Language Model Evaluation by Expert Review (CLEVER): Framework Development and Validation
Veysel Kocaman, Mustafa Aytuğ Kaya, Andrei Marian Feier, David Talby
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2025 |
23 |
5
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Evaluating clinical AI summaries with large language models as judges
Emma Croxford, Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda...
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2025 |
47 |
5
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Large Language Model Assistant for Emergency Department Discharge Documentation
Ji Woo Song, Junseong Park, Ji Hoon Kim, Seng Chan You
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2025 |
33 |
5
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| 326 |
Enhancing Radiologist Productivity with Artificial Intelligence in Magnetic Resonance Imaging (MRI): A Narrative Review
Arun Nair, Wilson Ong, Aric Lee, Naomi Wenxin Leow, Andrew Makmur, Yon...
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2025 |
30 |
5
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A deep learning-based dual-branch framework for automated skin lesion segmentation and classification via dermoscopic Images
Hamza Abu Owida, Ibrahim Abd El‐Fattah, Suhaila Farhan Ahmad Abuowaida...
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2025 |
23 |
5
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Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations
Sijie Chen, Tong Lin, Ruchira Basu, Jeremy L. Ritchey, Shen Wang, Yich...
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2024 |
319 |
5
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Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework
Simone Kresevic, Mauro Giuffrè, Miloš Ajčević, Agostino Accardo, Lory...
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2024 |
201 |
5
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| 330 |
Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning
Jingyue Wu, Stephanie S. Singleton, Urnisha Bhuiyan, Lori Krammer, Raj...
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2024 |
77 |
5
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| 331 |
Large language models for structured reporting in radiology: past, present, and future
Felix Busch, Lena Hoffmann, Daniel Pinto dos Santos, Marcus R. Makowsk...
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2024 |
129 |
5
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Distilling large language models for matching patients to clinical trials
Mauro Andrés Nievas Offidani, Aditya Basu, Yanshan Wang, Hrituraj Sing...
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2024 |
67 |
5
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| 333 |
Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
A. N. M. Sajedul Alam, Victor R. Prybutok
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2024 |
19 |
5
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| 334 |
Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos
Negin Ghamsarian, Yosuf El‐Shabrawi, Sahar Nasirihaghighi, Doris Putzg...
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2024 |
30 |
5
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| 335 |
Application of machine learning in breast cancer survival prediction using a multimethod approach
Seyedeh Zahra Hamedi, Hassan Emami, Maryam Khayamzadeh, Reza Rabiei, M...
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2024 |
23 |
5
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| 336 |
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patr...
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2023 |
100 |
5
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| 337 |
Cardiovascular complications in a diabetes prediction model using machine learning: a systematic review
Ooi Ting Kee, Harmiza Harun, Norlaila Mustafa, Nor Azian Abdul Murad,...
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2023 |
80 |
5
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| 338 |
A Survey of Automatic Speech Recognition for Dysarthric Speech
Zhaopeng Qian, Kejing Xiao
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2023 |
43 |
5
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| 339 |
Validation of a Deep Learning Chest X-ray Interpretation Model: Integrating Large-Scale AI and Large Language Models for Comparative Analysis with ChatGPT
Kyu Hong Lee, Ro Woon Lee, Ye Eun Kwon
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2023 |
29 |
5
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APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants
Salvatore Daniele Bianco, Luca Parca, Francesco Petrizzelli, Tommaso B...
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2023 |
42 |
5
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Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022
Ozkan Cigdem, Cem Murat Deniz
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2023 |
34 |
5
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| 342 |
Machine learning in predicting outcomes for stroke patients following rehabilitation treatment: A systematic review
Wanting Zu, Xuemiao Huang, Tianxin Xu, Lin Du, Yiming Wang, Lisheng Wa...
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2023 |
27 |
5
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| 343 |
Medical image segmentation using deep learning: A survey
Risheng Wang, Tao Lei, Ruixia Cui, Bingtao Zhang, Hongying Meng, Asoke...
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2022 |
845 |
5
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| 344 |
Deep learning in macroscopic diffuse optical imaging
Jason T. Smith, Marien Ochoa, Denzel E. Faulkner, Grant Haskins, Xavie...
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2022 |
45 |
5
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| 345 |
Human disease prediction from microbiome data by multiple feature fusion and deep learning
Xingjian Chen, Zifan Zhu, Weitong Zhang, Yuchen Wang, Fuzhou Wang, Jia...
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2022 |
30 |
5
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| 346 |
Deep learning model-assisted detection of kidney stones on computed tomography
Alper Caglayan, Mustafa Ozan Horsanalı, Kenan Kocadurdu, Eren Ismailog...
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2022 |
94 |
5
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| 347 |
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing
Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, Sarada...
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2022 |
82 |
5
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| 348 |
Artificial Intelligence–Driven Ultra-Fast Superresolution MRI
Dana J. Lin, Sven S. Walter, Jan Marie Fritz
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2022 |
81 |
5
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| 349 |
A Low-Cost High-Performance Data Augmentation for Deep Learning-Based Skin Lesion Classification
Shuwei Shen, Mengjuan Xu, Fan Zhang, Pengfei Shao, Honghong Liu, Liang...
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2022 |
61 |
5
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| 350 |
Machine learning models for prediction of adverse events after percutaneous coronary intervention
Nozomi Niimi, Yasuyuki Shiraishi, Mitsuaki Sawano, Nobuhiro Ikemura, T...
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2022 |
48 |
5
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| 351 |
The impact of chemotherapy and survival prediction by machine learning in early Elderly Triple Negative Breast Cancer (eTNBC): a population based study from the SEER database
Kaiyan Huang, Jie Zhang, Yushuai Yu, Yuxiang Lin, Chuangui Song
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2022 |
37 |
5
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| 352 |
Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment
Shubhangi Nema, Leena Vachhani
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2022 |
38 |
5
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| 353 |
GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction
Muhammad Yaqub, Jinchao Feng, Shahzad Ahmed, Kaleem Arshid, Muhammad A...
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2022 |
28 |
5
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| 354 |
A Deep Learning Algorithm for Detecting Acute Pericarditis by Electrocardiogram
Yu‐Lan Liu, Chin‐Sheng Lin, Cheng‐Chung Cheng, Chin S. Lin
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2022 |
24 |
5
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Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival
Arturo Moncada‐Torres, Marissa Corine van Maaren, Mathijs P. Hendriks,...
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2021 |
335 |
5
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Deep neural network correlation learning mechanism for CT brain tumor detection
Marcin Woźniak, Jakub Siłka, Michał Wieczorek
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2021 |
284 |
5
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Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review
Mohamed A. A. Kassem, Khalid Mohamed Hosny, Robertas Damaševičius, Moh...
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2021 |
270 |
5
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It takes guts to learn: machine learning techniques for disease detection from the gut microbiome
Kristen D. Curry, Michael G. Nute, Todd J. Treangen
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2021 |
30 |
5
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Benchmarking deep learning splice prediction tools using functional splice assays
Tabea Riepe, Mubeen Khan, Susanne Roosing, Frans P.M. Cremers, Peter A...
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2021 |
100 |
5
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| 360 |
A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images
Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki, Hiroaki Takeoka, Masak...
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2021 |
57 |
5
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Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
Jong-Hwan Jang, Tae Young Kim, Dukyong Yoon
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2021 |
43 |
5
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| 362 |
CLECG: A Novel Contrastive Learning Framework for Electrocardiogram Arrhythmia Classification
Hui Chen, Guijin Wang, Guodong Zhang, Ping Zhang, Huazhong Yang
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2021 |
35 |
5
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Detection of sarcopenic obesity and prediction of long‐term survival in patients with gastric cancer using preoperative computed tomography and machine learning
Jae Hyuk Kim, Seung Hee Han, Hyoung‐Il Kim
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2021 |
34 |
5
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DeepMicro: deep representation learning for disease prediction based on microbiome data
Min Oh, Liqing Zhang
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2020 |
189 |
5
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Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks
Salman Ul Hassan Dar, Mahmut Yurt, Mo Shahdloo, M. Emrullah Ildiz, Ber...
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2020 |
174 |
5
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Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Daniele M. S. Barros, Julio C. C. Moura, Cefas Rodrigues Freire, Alexa...
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2020 |
138 |
5
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| 367 |
A deep learning, image based approach for automated diagnosis for inflammatory skin diseases
Haijing Wu, Heng Yin, Haipeng Chen, Moyuan Sun, Xiaoqing Liu, Yizhou Y...
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2020 |
126 |
5
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Evaluation of Surgical Skills during Robotic Surgery by Deep Learning-Based Multiple Surgical Instrument Tracking in Training and Actual Operations
Dongheon Lee, Hyeong Won Yu, Hyungju Kwon, Hyoun‐Joong Kong, Kyu Eun L...
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2020 |
107 |
5
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Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support
Balázs Harangi, Ágnes Baran, András Hajdú
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2020 |
79 |
5
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Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases
Kenneth Græbild Thomsen, Anja Liljedahl Christensen, Lars Iversen, Han...
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2020 |
68 |
5
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| 371 |
Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning
Takuya Matsumoto, Satoshi Kodera, Hiroki Shinohara, Hirotaka Ieki, Tos...
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2020 |
66 |
5
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Skin Lesion Classification using Deep Learning Architectures
Abhishek C. Salian, Shalaka Vaze, Pragya Singh, Gulam Nasir Shaikh, Sa...
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2020 |
49 |
5
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Development and Validation of a Quick Sepsis-Related Organ Failure Assessment-Based Machine-Learning Model for Mortality Prediction in Patients with Suspected Infection in the Emergency Department
Young Suk Kwon, Moon Seong Baek
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2020 |
29 |
5
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Faculty Opinions recommendation of Deep learning enables rapid identification of potent DDR1 kinase inhibitors.
Peter R Bernstein
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2019 |
n/a |
5
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Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers
Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima, Kenzo Isogawa, Masahit...
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2019 |
242 |
5
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Deep learning-based automated detection of retinal diseases using optical coherence tomography images
Li Feng, Hua Chen, Zheng Liu, Xue‐dian Zhang, Minshan Jiang, Zhizheng...
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2019 |
193 |
5
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An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning
Joeky T. Senders, Patrick C. Staples, Alireza Mehrtash, David J. Coté,...
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2019 |
127 |
5
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Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients
Zaki Hasnain, Jeremy M. Mason, Karanvir S. Gill, Gus Miranda, Inderbir...
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2019 |
83 |
5
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Multimodal skin lesion classification using deep learning
Jordan Yap, William Yolland, Philipp Tschandl
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2018 |
323 |
5
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Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery
Kristina Preuer, Philipp Renz, Thomas Unterthiner, Sepp Hochreiter, Gü...
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2018 |
345 |
5
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CXNet-m1: Anomaly Detection on Chest X-Rays With Image-Based Deep Learning
Shuaijing Xu, Hao Wu, Rongfang Bie
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2018 |
122 |
5
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee‐Wah Tsang, David R. J....
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2016 |
1,217 |
5
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Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data
Alexander M. Aliper, Sergey Plis, Artem V. Artemov, Alvaro Ulloa, Poli...
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2016 |
608 |
5
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| 384 |
Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery
Mahtab Jahanbani Fard, Sattar Ameri, Ratna Babu Chinnam, Abhilash K. P...
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2016 |
37 |
5
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| 385 |
Modeling Epoxidation of Drug-like Molecules with a Deep Machine Learning Network
Tyler B. Hughes, Grover Paul Miller, S. Joshua Swamidass
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2015 |
203 |
5
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| 386 |
Automated generation of discharge summaries: leveraging large language models with clinical data
Matthias Ganzinger, Nicola Kunz, Pascal Fuchs, Cornelia K Lyu, Martin...
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2025 |
53 |
4
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| 387 |
Transforming Surgical Training With AI Techniques for Training, Assessment, and Evaluation: Scoping Review
David Escobar-Castillejos, Ari Yair Barrera-Animas, Julieta Noguez, Al...
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2025 |
22 |
4
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| 388 |
Drug target prediction through deep learning functional representation of gene signatures
Hao Chen, Frederick J. King, Bin Zhou, Yu Wang, Carter J. Canedy, Joel...
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2024 |
95 |
4
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| 389 |
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence
Jan‐Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik,...
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2024 |
64 |
4
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Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study
Junhyuk Seo, Dasol Choi, Taerim Kim, Won Chul Cha, Minha Kim, Haanju Y...
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2024 |
52 |
4
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| 391 |
Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers
Xin Yu, Zhiwei Wu, Nan Zhang
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2024 |
15 |
4
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| 392 |
Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support
Siru Liu, Allison B. McCoy, Aileen P. Wright, Scott D. Nelson, Sean S...
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2024 |
35 |
4
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Integration of Localized, Contextual, and Hierarchical Features in Deep Learning for Improved Skin Lesion Classification
R. Karthik, Illakiya Thayumanaswamy, Menaka Radhakrishnan, Daehan Won,...
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2024 |
24 |
4
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| 394 |
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP
Rasheed Omobolaji Alabi, Mohammed Salem Elmusrati, Ilmo V.V. Leivo, Al...
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2023 |
160 |
4
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| 395 |
Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning
Jeong Hee Kim, Chi Zhang, Christopher John Sperati, Serena Maria Bagna...
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2023 |
13 |
4
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| 396 |
Prediction of Three-Directional Ground Reaction Forces during Walking Using a Shoe Sole Sensor System and Machine Learning
Takeshi Yamaguchi, Yuya Takahashi, Yoshihiro Sasaki
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2023 |
20 |
4
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| 397 |
Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms
Chie Nagata, Masahiro Hata, Yuki Miyazaki, Hirotada Masuda, Tamiki Wad...
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2023 |
30 |
4
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| 398 |
Thin-Slice Prostate MRI Enabled by Deep Learning Image Reconstruction
Sebastian Gassenmaier, Verena Warm, Dominik M. Nickel, Elisabeth Weila...
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2023 |
26 |
4
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| 399 |
Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos
Joël Lukas Lavanchy, Armine Vardazaryan, Pietro Mascagni, Giovanni Gu...
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2023 |
25 |
4
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| 400 |
Deep learning acceleration of multiscale superresolution localization photoacoustic imaging
Jongbeom Kim, Gyuwon Kim, Lei S. Li, Pengfei Zhang, Jin Young Kim, Yeo...
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2022 |
126 |
4
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| 401 |
Image quality assessment for machine learning tasks using meta-reinforcement learning
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides, Zachary M. C. Baum,...
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2022 |
50 |
4
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| 402 |
Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review
Andrés Mosquera‐Zamudio, Laëtitia Launet, Zahra Tabatabaei, Rafael San...
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2022 |
33 |
4
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| 403 |
Multimodal deep learning for biomedical data fusion: a review
Sören Richard Stahlschmidt, Benjamin Ulfenborg, Jane Synnergren
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2021 |
750 |
4
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| 404 |
Automation of surgical skill assessment using a three-stage machine learning algorithm
Joël Lukas Lavanchy, Joël Zindel, Kadir Kirtac, Isabell Twick, Enes H...
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2021 |
148 |
4
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| 405 |
Automated claustrum segmentation in human brain MRI using deep learning
Hongwei Li, Aurore Menegaux, Benita Schmitz‐Koep, Antonia Neubauer, Fe...
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2021 |
28 |
4
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| 406 |
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
Steven Alexander Hicks, Jonas Lynggaard Isaksen, Vajira Lasantha Thamb...
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2021 |
75 |
4
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| 407 |
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards
Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Ande...
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2021 |
61 |
4
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| 408 |
A Speech Command Control-Based Recognition System for Dysarthric Patients Based on Deep Learning Technology
Yu-Yi Lin, Wei-Zhong Zheng, Wei Chu, Ji-Yan Han, Ying-Hsiu Hung, Guan‐...
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2021 |
35 |
4
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| 409 |
Pill Detection Model for Medicine Inspection Based on Deep Learning
Hyuk‐Ju Kwon, Hwi-Gang Kim, Sung-Hak Lee
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2021 |
48 |
4
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| 410 |
MR Images, Brain Lesions, and Deep Learning
Darwin Castillo, Vasudevan Lakshminarayanan, María José Rodríguez-Álva...
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2021 |
36 |
4
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| 411 |
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning
Masayuki Tsuneki, Fahdi Kanavati
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2021 |
28 |
4
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| 412 |
The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning
Jin-Ah Sim, Young Ae Kim, Ju Han Kim, Jong Mog Lee, Moon Soo Kim, Youn...
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2020 |
63 |
4
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| 413 |
Improving dysarthric speech recognition using empirical mode decomposition and convolutional neural network
Mohammed Sidi Yakoub, Sid‐Ahmed Selouani, Brahim-Fares Zaidi, Asma Bou...
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2020 |
65 |
4
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| 414 |
The Auto-eFACE: Machine Learning–Enhanced Program Yields Automated Facial Palsy Assessment Tool
Matthew Q. Miller, Tessa A. Hadlock, Emily Fortier, Diego L. Guarín
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2020 |
75 |
4
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| 415 |
Dysarthric Speech Recognition using Convolutional Recurrent Neural Networks
Hussain Albaqshi, Alaa Sagheer
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2020 |
24 |
4
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| 416 |
Survival Prediction in Gallbladder Cancer Using CT Based Machine Learning
Zefan Liu, Guannan Zhu, Xian Jiang, Yunuo Zhao, Hao Zeng, Jing Jing, X...
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2020 |
23 |
4
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| 417 |
Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning
Enes Ayan, Halil Murat Ünver
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2019 |
410 |
4
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| 418 |
Deep learning-based survival prediction of oral cancer patients
Dong Wook Kim, Sanghoon Lee, Sunmo Kwon, Woong Nam, In–Ho Cha, Hyung J...
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2019 |
320 |
4
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| 419 |
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models
Harish Babu Arunachalam, Rashika Mishra, Ovidiu Daescu, Kevin Cederber...
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2019 |
146 |
4
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| 420 |
Classification of Paediatric Inflammatory Bowel Disease using Machine Learning
Enrico Mossotto, James John Ashton, Tracy A F Coelho, R Mark Beattie,...
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2017 |
157 |
4
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| 421 |
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
Joon Yul Choi, Tae Keun Yoo, Jeong Gi Seo, Jay Jiyong Kwak, Terry Taew...
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2017 |
282 |
4
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| 422 |
Surgical skill level classification model development using EEG and eye-gaze data and machine learning algorithms
Somayeh B. Shafiei, Saeed Shadpour, James Lloyd Mohler, Farzan Sasango...
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2023 |
25 |
3
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| 423 |
Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms
Yeong Hwan Ryu, Seo‐Young Kim, Tae Uk Kim, Seong Jae Lee, Soo Jun Park...
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2022 |
24 |
3
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Electrocardiogram Quality Assessment Using Unsupervised Deep Learning
Nick Seeuws, Maarten De Vos, Alexander Bertrand
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2021 |
38 |
3
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