Artificial Intelligence Medical Compendium

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

Showing 49,571 to 49,580 of 224,513 articles

DELTA: Fortifying Human Biological Resilience with an N=1 Digital Health and Dynamic Biomarker Protocol

medRxiv
Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in younger populations. These and other factors are creating a substantial disparity between healthspan, the period of life where an individual is free fr... read more 

A multi-layered approach to elucidate mechanisms of physical function in response to rehabilitation in heart failure with preserved ejection fraction

medRxiv
Heart failure with preserved ejection fraction (HFpEF) is an increasingly common cause of morbidity and mortality in older adults that is driven by cardiac and non-cardiac mechanisms. Physical rehabilitation improves frailty and functional capacity i... read more 

Comparing AI and Human Coding of NIH Grant Abstracts to Identify Innovations in Opioid Addiction Treatment

medRxiv
Large language models (LLMs) are increasingly used for qualitative analysis in substance use research, yet their performance relative to human coders remains underexplored. This study compares ChatGPT-4.0 with human coders in identifying and describi... read more 

Sino-US-DrugQA: A Benchmark for Evaluating Large Language Models in Cross-Jurisdictional Pharmaceutical Regulation

medRxiv
Cross-jurisdictional pharmaceutical compliance requires comparative analysis of regulatory requirements across jurisdictions such as the US FDA and Chinas NMPA. Although large language models (LLMs) are increasingly explored for healthcare-related ap... read more 

Gender-Specific Osteoporosis Risk Prediction Using Longitudinal Clinical Data and Machine Learning

medRxiv
Osteoporosis is a silent yet debilitating disease that often remains undetected until fractures occur. While early prediction is crucial, most studies combine male and female datasets to train a single model, introducing bias since osteoporosis risk ... read more 

Multi-Model Clinical Validation of an AI-Powered Biomarker Analysis Framework: A Cross-Vendor Benchmark on 4,018 NHANES Patients

medRxiv
Background: Large language models (LLMs) show promise for clinical decision support, yet most validation studies evaluate single models, leaving questions about generalizability and vendor dependence unanswered. We assessed whether a standardized bio... read more 

Natural Language Processing Analysis of Australian Health Practitioner Disciplinary Tribunal Decisions, 1999-2026

medRxiv
Background: Australian health practitioners are regulated under the Health Practitioner Regulation National Law, with serious conduct matters referred to state and territory tribunals. Despite thousands of published tribunal decisions, no prior study... read more 

Local REM sleep-N1-wake sleep stage mixing in narcolepsy type 1

medRxiv
Type 1 narcolepsy (NT1), a disorder caused by the loss of hypocretin/orexin transmission, is characterized by daytime sleepiness and symptoms where Rapid Eye Movement (REM) sleep, a state normally occurring from middle to late in the night, can inter... read more 

ChatGPT with Mixed-Integer Linear Programming for Precision Nutrition Recommendations

medRxiv
Background: The growing interest in applying artificial intelligence in personalized nutrition is challenged by the complex nature of dietary advice that must balance health, economic, and personal factors. Though automated solutions using either Lin... read more 

Glutamate Dehydrogenase as a Superior Biomarker for Choledocholithiasis Risk Stratification

medRxiv
Background and Aims: Choledocholithiasis (CDL) is a common condition that can lead to serious complications, requiring effective risk stratification for timely intervention. While current guidelines use clinical predictors, imaging, and laboratory ma... read more