SolvedByAI

Queue

628 cases were harvested and are backed by a real paper, but they fail the test the index publishes on. Each one is listed here with the reason, so the exclusion can be checked rather than trusted.

All 628 assisted 358 not a result 183 unsupported 87
Paper Year Cited Why it is held
A Systematic Review of Machine Learning and IoT Applied to the Prediction an... Healthcare 2023 55 not a result This is a systematic review summarizing 164 existing papers on ML/IoT for cardiovascular disease, with no primary AI-produced result of its own. “This paper presents a systematic review to highlight the use of IoT, IoMT, and machine learning to detect, predict, or monitor cardiovascular disease.”
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus... IEEE Access 2021 292 not a result This is a survey/review paper that overviews and categorizes existing deep learning systems for COVID-19 diagnosis rather than presenting a new AI-produced result. “This paper aims to overview the recently developed systems based on deep learning techniques using different medical imaging modalities like Computer...”
Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Ima... Journal of Personalized Medicine 2021 96 not a result This is a systematic review/overview summarizing performance metrics from 22 previously published AI studies rather than producing any new AI-driven diagnostic result itself. “Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19 using chest Computed Tomography (CT) scan and chest X-ray ima...”
Deep learning approaches for breast cancer detection in histopathology image... Cancer Biomarkers 2024 44 not a result This is a survey/review paper summarizing existing deep learning approaches for breast cancer detection, with no primary result produced by an AI system. “This review has presented a thorough account of the current state-of-the-art techniques for detecting breast cancer using histopathology images.”
Structure Prediction and Computational Protein Design for Efficient Biocatal... Angewandte Chemie International Edition 2024 40 not a result This is a review/highlight commentary on the 2024 Nobel Prize and others' tools (AlphaFold, Baker's design methods) rather than a paper presenting a primary result produced by an AI system. “Here, we highlight notable contributions to the development of these computational tools and their importance for the design of functional proteins th...”
Machine learning prediction in cardiovascular diseases: a meta-analysis Scientific Reports 2020 514 not a result This is a meta-analysis that aggregates predictive performance from prior studies rather than presenting any primary result where an AI system itself solved a task. “We aim to assess and summarize the overall predictive ability of ML algorithms in cardiovascular diseases.”
Forecasting Renewable Energy Generation with Machine Learning and Deep Learn... Sustainability 2023 378 not a result The abstract explicitly states this is a review of existing ML/DL forecasting approaches with no new primary result produced by an AI system. “This article presents a review of current advances and prospects in the field of forecasting renewable energy generation using machine learning (ML) a...”
De novo protein design—From new structures to programmable functions Cell 2024 344 not a result This is a perspective/review discussing the state of the field rather than presenting a primary result produced by an AI system. “In this perspective, I will discuss the state of the field of de novo protein design at the juncture of physics-based modeling approaches and AI.”
Machine Learning in Action: Stroke Diagnosis and Outcome Prediction Frontiers in Neurology 2021 147 not a result This is a review/overview article summarizing existing machine learning studies in stroke, with no primary result produced by an AI system. “This article provides an overview of machine learning technology and a tabulated review of pertinent machine learning studies related to stroke diagno...”
AI-Driven Deep Learning Techniques in Protein Structure Prediction International Journal of Molecular Sciences 2024 136 not a result The abstract explicitly describes a review/survey of existing protein structure prediction models rather than presenting any new primary result produced by an AI system. “This review study presents a comprehensive review of the computational models used in predicting protein structure.”
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine... Drugs and Drug Candidates 2023 136 not a result This is a survey/review of virtual screening algorithms with no primary experimental result produced by any AI system. “This review presents an overview of the algorithms used in VS, describing them and showing their use in drug design and their contribution to the drug...”
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodul... Diagnostics 2022 129 not a result This is a survey/review article summarizing existing deep learning literature on pulmonary nodule segmentation and classification, with no primary result produced by an AI system. “Thus, this review provides a baseline understanding of the topic for interested readers.”
Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Re... Journal of Clinical Medicine 2023 118 not a result This is a systematic review synthesizing prior studies of ML/DL sepsis prediction rather than presenting an AI system that itself produced a primary result. “This systematic review examined 1942 articles, selecting 42 studies while adhering to strict criteria.”
Deep Learning for Detecting and Locating Myocardial Infarction by Electrocar... Frontiers in Cardiovascular Medicine 2022 104 not a result This is a literature review surveying 59 prior deep learning studies rather than presenting a new AI-produced result. “This review aims to take stock of 59 major DL studies applied to the ECG for MI detection and localization published in recent 5 years”
Advances and challenges in automated malaria diagnosis using digital microsc... Frontiers in Microbiology 2022 87 not a result This is a review/survey of AI-based malaria diagnosis approaches that discusses advances and challenges without presenting any primary result produced by an AI system. “New techniques based on digital imaging analysis by deep learning and artificial intelligence methods are a challenging alternative tool for the diagn...”
Predicting sepsis onset in ICU using machine learning models: a systematic r... BMC Infectious Diseases 2023 68 not a result This is a systematic review and meta-analysis that re-evaluates prior studies' ML models rather than producing a new result or having an AI system itself solve a task. “We included 23 eligible studies with a total of 4,314,145 patients and 26 different machine learning models.”
Cervical cancer survival prediction by machine learning algorithms: a system... BMC Cancer 2023 57 not a result This is a systematic review synthesizing 13 previously published studies on ML-based cervical cancer survival prediction, producing no primary result of its own. “This study aims to systematically investigate the use of machine learning to predict survival in patients with cervical cancer.”
Deep Learning Pipeline for Accelerating Virtual Screening in Drug Discovery Methods in molecular biology 2024 54 not a result This is a survey/review book chapter describing deep learning pipelines for virtual screening rather than reporting a primary result produced by an AI system. “This chapter explores the systematic deep learning pipeline for virtual screening, covering data acquisition, molecular representation learning, model...”
Deep learning for protein complex structure prediction Current Opinion in Structural Biology 2023 52 not a result The abstract explicitly describes a review summarizing existing structure-prediction methods and limitations, with no primary result produced by an AI system. “This review highlights the foundation for current accurate structure prediction of protein complexes and possible ways to address the remaining limita...”
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Ho... Diagnostics 2024 46 not a result This is a systematic review summarizing existing literature on AI applications for HAI surveillance and diagnosis, not a primary result produced by an AI system. “This review aims to provide a comprehensive summary of the current literature on AI applications in the field of HAIs and discuss the future potential...”
An Artificial Intelligence Analysis of Electrocardiograms for the Clinical D... Journal of Clinical Medicine 2024 42 not a result This is a narrative review summarizing existing AI-ECG applications and their limitations, with no new primary result produced by an AI system. “An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review”
Integrative Analysis of Next-Generation Sequencing for Next-Generation Cance... Cancers 2021 41 not a result This is a review/survey of machine learning and systems biology approaches for NGS cancer data, with no primary result produced by any AI system. “In this work, we review novel technologies developed for NGS data analysis, and we describe how these computational methodologies integrate systems bi...”
A Systematic Review of Deep Learning Methodologies Used in the Drug Discover... International Journal of Molecular Sciences 2023 35 not a result This is a systematic review summarizing prior deep learning studies in drug discovery, not a primary result produced by an AI system. “This systematic review aims to summarize the different deep learning architectures used in the drug discovery process and are validated with further i...”
Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFol... Cold Spring Harbor Perspectives in Biology 2024 34 not a result The abstract explicitly states the paper reviews recent studies rather than presenting a primary result produced by an AI system. “We review recent studies that use structure-prediction neural networks to design proteins”
Applications of machine learning in computer-aided drug discovery QRB Discovery 2022 27 not a result This is a review article summarizing deep learning trends in structure-based drug design, with no primary research result produced by an AI system. “This review provides a thorough summary of the recent DL trends in SBDD with a particular focus on de novo drug design, binding site prediction, and b...”
Deep Machine Learning for Computer-Aided Drug Design Frontiers in Drug Discovery 2022 27 not a result This is a review/perspective highlighting existing deep learning advances in computer-aided drug design rather than reporting a primary result produced by an AI system. “These include advances in both small molecular and macromolecular modeling, as highlighted herein.”
Computer Vision Malaria Diagnostic Systems—Progress and Prospects Frontiers in Public Health 2017 26 not a result This is a review/survey of computer vision malaria diagnostic platforms, discussing progress and barriers rather than presenting a primary result produced by an AI system. “In this review, we discuss the most advanced computer vision malaria diagnostic technologies and investigate several of their features which are centr...”
Recent Applications of Deep Learning Methods on Evolution- and Contact-Based... International Journal of Molecular Sciences 2021 25 not a result This is a review/survey of existing deep learning methods in protein structure prediction, with no primary result produced by an AI system. “Here, we explore the recent applications of deep learning methods in the protein structure prediction area.”
Machine Learning in Carbon Capture, Utilization, Storage, and Transportation... Processes 2025 25 not a result This is a survey/review paper synthesizing existing ML applications in CCUS, with no primary result produced by an AI system. “This review addresses this gap by systematically evaluating ML applications across all major CCUS components”
Faculty Opinions recommendation of A deep learning approach to antibiotic di... Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature 2020 not a result The item is a Faculty Opinions recommendation, an expert commentary recommending someone else's paper, so it contains no primary result of its own; the supplied abstract is merely the recommended article's abstract, not a result produced by this publication.
A review of the application of machine learning in water quality evaluation Eco-Environment & Health 2022 793 not a result This is a review paper surveying existing applications of machine learning to water quality evaluation, with no primary result produced by an AI system. “In this review, we describe the cases in which machine learning algorithms have been applied to evaluate the water quality in different water environm...”
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical... Radiology 2023 426 not a result The abstract explicitly describes a review article surveying deep learning CT reconstruction principles and applications, with no primary result produced by an AI system. “This review presents an overview of the principles, technical approaches, and clinical applications of DLR, including metal artifact reduction algorit...”
Advances in De Novo Drug Design: From Conventional to Machine Learning Metho... International Journal of Molecular Sciences 2021 352 not a result This is a review article summarizing existing de novo drug design methods rather than presenting a primary result produced by an AI system. “This review article summarizes advances in de novo drug design, from conventional growth algorithms to advanced machine-learning methodologies and hig...”
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: P... IEEE Access 2021 293 not a result This is a survey reviewing 147 existing articles on brain disease diagnosis, with no primary result produced by any AI system. “In this study, we present a review on recent machine learning and deep learning approaches in detecting four brain diseases”
Deep Learning for Lung Cancer Nodules Detection and Classification in CT Sca... AI 2020 202 not a result This is a survey/review paper that summarizes and compares existing deep learning CAD systems for lung nodule detection rather than producing a new result itself. “In this work, we review recent state-of-the-art deep learning algorithms and architectures proposed as CAD systems for lung cancer detection.”
Application of Machine Learning in Material Synthesis and Property Predictio... Materials 2023 165 not a result The abstract explicitly describes a review/survey of machine learning principles and applications in materials science, with no primary result produced by any AI system. “In this review, the basic principles of machine learning are briefly outlined.”
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopatho... IEEE Journal of Biomedical and Health Informatics 2020 157 not a result This is a challenge review paper that summarizes and evaluates methods submitted by others rather than presenting an AI system whose own result is the paper's contribution. “This paper reviews this challenge and summarizes the top 10 submitted methods for lung cancer segmentation.”
Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Re... Journal of Imaging 2023 136 not a result This is a survey/review paper that critically evaluates existing deep-learning research rather than producing a new AI-driven result. “This work reviews the most common retinal pathologies, provides an overview of prevalent imaging modalities and presents a critical evaluation of curr...”
Computational Tools and Resources for CRISPR/Cas Genome Editing Genomics Proteomics & Bioinformatics 2022 129 not a result This is a review/survey of existing computational tools and workflows for CRISPR sgRNA design, with no primary result produced by any AI system. “In this review, we first briefly introduce the different features of CRISPR/Cas tools that should be taken into consideration to achieve specific purp...”
Machine Learning and Prediction of Infectious Diseases: A Systematic Review Machine Learning and Knowledge Extraction 2023 124 not a result This is a systematic review synthesizing 75 existing studies on ML-based infectious disease prediction, with no primary AI-produced result of its own. “At the end of the search, this systematic review contained 75 records.”