Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,831 to 3,840 of 203,626 articles

When Timing Matters: Evaluating Temporal Leakage in Machine Learning Models of Football Pass Turnovers.

Research quarterly for exercise and sport Jun 3, 2026
The Expected Pass Turnovers (xPT) model advances turnover probability quantification in professional football, but the inclusion of post-pass descriptive features such as ball speed and distance moved introduces temporal leakage and limits real-time ... read more 

Moving From Keywords to Contextual Meaning: A Commentary on Hybrid Bibliometric Synthesis in Health Research.

Journal of medical Internet research Jun 3, 2026
The fast growth of social media mining in health research has contributed to an invaluable but quite fragmented body of literature. As the amount of unstructured patient-reported data grows, traditional bibliometric analyses face methodological limit... read more 

Clinical Evaluation of the Clinical Reasoning Process of Large Language Models in Nephrology: Comparative Evaluation Study.

JMIR formative research Jun 3, 2026
This study evaluates the dynamic clinical reasoning of 4 leading large language models in complex nephrology cases, demonstrating that while Gemini 2.5 Pro achieved the highest reasoning scores and computational efficiency, all tested models excelled... read more 

Suicidal Ideation in Online Spaces Through the Lens of Interpersonal Theory of Suicide: Exploratory Study of Self-Disclosure, Peer Support, and AI Responses.

JMIR AI Jun 3, 2026
BACKGROUND: Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Global estimates suggest that the lifetime prevalence of SI ranges between 9% and 12% worldwide, underscoring the scale of this... read more 

Forecasting the Impacts of Artificial Intelligence Assistance in Virtual Consultations for Chronic Obstructive Pulmonary Disease: Exploratory Futures Wheel Study.

Journal of medical Internet research Jun 3, 2026
BACKGROUND: While digital health technologies promise to reshape the medical journey, their potential might not be realized due to unforeseen implementation challenges. Notably, the future impact of artificial intelligence (AI) in virtual consultatio... read more 

Personalized Type 1 Diabetes Management: Reinforcement Learning-Based Insulin Dosing and Glucose Forecasting.

JMIR diabetes Jun 3, 2026
BACKGROUND: Optimizing insulin dosing and predicting future glucose levels for people with type 1 diabetes is challenging due to the dynamic nature of glucose metabolism. Traditional static insulin regimens fail to adapt to individual variability in ... read more 

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering.

IEEE transactions on pattern analysis and machine intelligence Jun 3, 2026
Federated learning (FL) is a promising framework that models distributed machine learning while protecting the privacy of clients. However, FL suffers performance degradation from heterogeneous and limited data. To alleviate the degradation, we prese... read more 

GMC-Bind: A Multimodal Framework for RNA-Protein Binding Site Prediction with Bidirectional Cross-Attentional Fusion.

IEEE transactions on computational biology and bioinformatics Jun 3, 2026
Accurate identification of RNA-protein binding sites is crucial for understanding gene regulation and disease mechanisms. However, existing deep learning models still face challenges in synergistically modeling multi-scale sequence motifs and dynamic... read more 

AI-Based Triage Decision Support: Multisite Economic Evaluation in the United States.

Journal of medical Internet research Jun 3, 2026
BACKGROUND: Emergency department (ED) visits have risen in the United States, with demand for emergency care exceeding supply. Resultant ED crowding harms patients, causes staff burnout, and places financial strain on hospitals, payers, and patients ... read more 

Evaluation of large language models in terms of safety, contraindications, and adverse effect information related to botulinum toxin applications.

Cutaneous and ocular toxicology Jun 3, 2026
BACKGROUND: Large language models (LLMs) are increasingly used for the dissemination of health-related information. However, data regarding the accuracy and adequacy with which they present information on the safety, contraindications, and adverse ef... read more 
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