Sarah M. Griffin, Anthony Wimmers, Christopher S. Velden
Weather and Forecasting·
2022·
cited by 33
Climate & Environment
Tropical and Extratropical Cyclones Research
partially solved
importance 8/10
scale stated
Predicting rapid intensification of tropical cyclones in the North Atlantic and eastern North Pacific, where storms suddenly strengthen faster than traditional guidance anticipates.
Details
Source
model: Convolutional neural network (I-RI / AI-RI...
Wencheng Liu, Chin‐Sheng Lin, Chien‐Sung Tsai, Tien‐Ping Tsao, Cheng‐Chung Cheng, Jun‐Ting Liou, Wei‐Shiang Lin, Shu‐Meng Cheng et al.
EuroIntervention·
2021·
cited by 93
Medicine & Health
ECG Monitoring and Analysis
ai assisted
importance 8/10
scale stated
Acute myocardial infarction is delayed or misdiagnosed in daily practice, and 12-lead ECG interpretation needs strengthening.
Ivan V. Anishchenko, Minkyung Baek, Hahnbeom Park, Naozumi Hiranuma, David E. Kim, Justas Dauparas, Sanaa Mansoor, Ian R. Humphreys et al.
Proteins Structure Function and Bioinformatics·
2021·
cited by 50
Predicting and refining protein 3D tertiary structures from sequence remains difficult and computationally expensive.
Isabella Castiglioni, Davide Ippolito, Matteo Interlenghi, Caterina Beatrice Monti, Christian Salvatore, Simone Schiaffino, Annalisa Polidori, Davide Giacomo Gandola et al.
European Radiology Experimental·
2021·
cited by 145
Medicine & Health
COVID-19 diagnosis using AI
ai assisted
importance 8/10
scale stated
Rapid, reliable differentiation of COVID-19 from non-COVID-19 patients using bedside chest x-rays was needed during the Lombardy outbreak.
Bruno Junior Neves, Rodolpho C. Braga, Vinícius M. Alves, Marília N. N. Lima, Gustavo Capatti Cassiano, Eugene N. Muratov, Fábio Trindade Maranhão Costa, Carolina Horta Andrade
PLoS Computational Biology·
2020·
cited by 63
Medicine & Health
Computational Drug Discovery Methods
ai assisted
importance 8/10
scale stated
Discovering new antimalarial drug candidates is slow and expensive, and parasites constantly develop resistance to current drugs.
Chayakrit Krittanawong, Hafeez Ul Hassan Virk, Sripal Bangalore, Zhen Wang, Kipp W. Johnson, Rachel Pinotti, HongJu Zhang, Scott L. Kaplin et al.
Scientific Reports·
2020·
cited by 514
Medicine & Health
Artificial Intelligence in Healthcare
partially solved
importance 8/10
scale stated
Accurately predicting cardiovascular diseases including coronary artery disease, heart failure, stroke, and cardiac arrhythmias.
Serge Mostowy, Ana T. López-Jiménez
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature·
2020·
Medicine & Health
Computational Drug Discovery Methods
partially solved
importance 8/10
scale stated
Rapidly emerging antibiotic-resistant bacteria create an urgent need for new antibiotics with novel structures.
Henry Barlow, Shunqi Mao, Matloob Khushi
Data·
2019·
cited by 55
Medicine & Health
Artificial Intelligence in Healthcare
partially solved
importance 8/10
scale stated
PSA-based prostate cancer screening produces both false positives and false negatives, making it hard to identify which patients have high-risk prostate cancer.
Onur Özdemir, Rebecca L. Russell, Andrew A. Berlin
IEEE Transactions on Medical Imaging·
2019·
cited by 265
Detecting lung nodules and diagnosing malignancy accurately from low-dose CT screening scans.
Ishan Taneja, Gregory L. Damhorst, Carlos G. Lopez-Espina, Sihai Dave Zhao, Ruoqing Zhu, Shah Alam Khan, Karen White, James S Kumar et al.
Clinical and Translational Science·
2021·
cited by 44
Medicine & Health
Sepsis Diagnosis and Treatment
ai assisted
importance 8/10
scale stated
Early recognition of sepsis in emergency department patients, which is difficult but critical for timely antibiotic treatment.
Cristina L. Saratxaga, Iratxe Moya, Artzai Picón, Marina Acosta, Aitor Moreno-Fernández-de-Leceta, Estíbaliz Garrote, Arantza Bereciartua
Journal of Personalized Medicine·
2021·
cited by 131
Medicine & Health
Dementia and Cognitive Impairment Research
ai assisted
importance 8/10
scale stated
Diagnosing Alzheimer's disease and determining its stage early from MRI brain scans, so patients can begin preventive care and treatment sooner.
Michael Wornow, Alejandro Lozano, Dev Dash, Jenelle Jindal, Kenneth W. Mahaffey, Nigam Haresh Shah
NEJM AI·
2024·
cited by 57
Medicine & Health
Artificial Intelligence in Healthcare and Education
partially solved
importance 8/10
scale stated
Manually matching patients to clinical trial eligibility criteria takes up to 1 hour per patient, slowing drug development.
Yuchen Zhang, Mingsheng Long, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I. Jordan, Jianmin Wang
Nature·
2023·
cited by 451
Climate & Environment
Meteorological Phenomena and Simulations
partially solved
importance 8/10
scale stated
Extreme precipitation is a considerable contributor to meteorological disasters, and existing nowcasting methods suffer blur, dissipation, intensity or location errors; physics-based methods miss chaotic dynamics while data-driven methods violate physical laws…
Khandaker Reajul Islam, Johayra Prithula, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury
Journal of Clinical Medicine·
2023·
cited by 118
Medicine & Health
Machine Learning in Healthcare
ai assisted
importance 8/10
scale stated
Detecting sepsis early enough to intervene, since it rapidly progresses to life-threatening forms; ML/DL on electronic health records was surveyed as an approach.
Ayush Agrawal, Mark Roger Petersen
Toxics·
2021·
cited by 22
Arsenic contamination affects over 200 million people, but current detection methods are laborious, expensive, and unscalable.
Dingding Wang, Jiaqing Mo, Gang Zhou, Liang Xu, Yajun Liu
PLoS ONE·
2020·
cited by 112
Medicine & Health
COVID-19 diagnosis using AI
ai assisted
importance 8/10
scale stated
Screening and diagnosing COVID-19 patients quickly from chest X-rays to reduce the burden on medical experts.
Worawate Ausawalaithong, Arjaree Thirach, Sanparith Marukatat, Theerawit Wilaiprasitporn
Biomedical Engineering International Conference·
2018·
cited by 168
Rural areas lack access to CT screening, so lung cancer classification from widely available chest X-rays was needed.
Yiming Ding, Jae Ho Sohn, Michael G. Kawczynski, Hari Trivedi, Roy J. Harnish, Nathaniel W. Jenkins, Dmytro Lituiev, Timothy P. Copeland et al.
Radiology·
2018·
cited by 574
Medicine & Health
Dementia and Cognitive Impairment Research
ai assisted
importance 8/10
scale stated
Predicting the final diagnosis of Alzheimer disease, mild cognitive impairment, or neither from brain 18F-FDG PET images is difficult for radiologic readers.
Alaa S. Al‐Waisy, Shumoos Al-Fahdawi, Mohammed Khalaf, Mazin Abed Mohammed, Bourair Al-Attar, Mohammed Nasser Al-Andoli
Scientific Reports·
2025·
cited by 40
Medicine & Health
Cutaneous Melanoma Detection and Management
partially solved
importance 8/10
scale stated
Manual diagnosis of skin cancer from dermoscopy images is challenging due to subtle visual differences between benign and malignant lesions.
Pantelis Georgiades, Matthias Kohl, Mihalis A. Nicolaou, T. Christoudias, Andrea Pozzer, Constantine Dovrolis, Jos Lelieveld
Scientific Data·
2025·
cited by 9
No global high-resolution datasets of ultrafine particle (UFP) number concentrations existed, limiting assessment of a critical but under-measured health risk.
Daichi Shigemizu, Shintaro Akiyama, Mutsumi Suganuma, Motoki Furutani, Akiko Yamakawa, Yukiko Nakano, Kouichi Ozaki, Shumpei Niida
Translational Psychiatry·
2023·
cited by 37
Medicine & Health
Dementia and Cognitive Impairment Research
ai assisted
importance 8/10
scale stated
Late-onset Alzheimer's disease is heterogeneous, and genetic risk factors for its subtypes were previously unidentified, limiting subtype-specific prediction.
Sarah F. McGough, Leonardo Clemente, J. Nathan Kutz, Mauricio Santillana
Journal of The Royal Society Interface·
2021·
cited by 46
Medicine & Health
Mosquito-borne diseases and control
ai assisted
importance 8/10
scale stated
Predicting dengue fever epidemic years in Brazilian cities months in advance is hard due to complex weather, mosquito and human immunity dynamics.
Ioannis A. Kakadiaris, Michalis Vrigkas, Albert A. Yen, Tatiana Kuznetsova, Matthew Jay Budoff, Morteza Naghavi
Journal of the American Heart Association·
2018·
cited by 226
Medicine & Health
Lipoproteins and Cardiovascular Health
partially solved
importance 8/10
scale stated
The standard ACC/AHA CVD risk calculator underestimates risk in high-risk individuals and overestimates it in low-risk ones, causing missed therapy or unnecessary statins.
Bharath Ambale‐Venkatesh, Xiaoying Yang, Colin O. Wu, Kiang Liu, William Gregory Hundley, Robyn L. McClelland, Antoinette S. Gomes, Aaron R. Folsom et al.
Circulation Research·
2017·
cited by 637
Medicine & Health
Artificial Intelligence in Healthcare
ai assisted
importance 8/10
scale stated
Standard cardiovascular risk scores may miss complex patterns in large, heterogeneous patient data, limiting event prediction accuracy.