Artificial Intelligence Medical Compendium

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

Showing 63,211 to 63,220 of 230,760 articles

Vision-Language Models vs Autonomous AI Agents for Anterior Capsular Radial Folds: A Diagnostic Study

medRxiv Jan 16, 2026
ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to resolve brief, low-contrast cues in surgical video without task-specific training is uncertain. Autonomous artificial intelligence (AI) agents offer ... read more 
ophthalmology

Aligning Artificial Intelligence Prediction Targets with Clinical Workflows Using Human Centered Design Methods

medRxiv Jan 16, 2026
Artificial intelligence models in healthcare often fail to improve patient outcomes despite strong predictive performance because they are frequently developed with limited understanding of clinical workflows and system implementation. We demonstrate... read more 
health informatics

Non-reproducibility of wearable accelerometer methods in protective association between physical activity and cardiovascular disease: a cohort study.

medRxiv Jan 16, 2026
BackgroundThe selection of accelerometer processing methods may influence the shape of the dose-response association between wearable-measured physical activity and health outcomes. We compared the association of stroke and myocardial infarction with... read more 
epidemiology

ClinAgent: A Five-Layer Architecture for Autonomous Clinical Trial Statistical Programming

medRxiv Jan 16, 2026
Clinical trial statistical programming requires 12-24 FTE-months for a typical Phase 3 study, producing 100-500 tables, listings, and figures (TLFs) across 8-15 ADaM domains. Modern AI coding agents (Augment Code, Claude Code, Cline, Cursor) demonstr... read more 
health informatics

Deep Learning-Based Multiclass Classification of Mitral Valve Etiologies Using Limited B-Mode and Color Doppler Echocardiography: Internal and External Validation

medRxiv Jan 16, 2026
BackgroundAccurate etiologic classification of mitral valve (MV) is essential for guiding clinical management but remains dependent on expert visual interpretation. Despite advances in artificial intelligence (AI)-based quantitative analysis, automat... read more 
cardiovascular medicine

Predictive Modeling of Healthcare Workers' Priorities of WHO 2030 Key Activities for Snakebite Prevention and Control in Ghana

medRxiv Jan 16, 2026
Snakebite is a neglected public health problem that results in significant morbidity and mortality, necessitating the World Health Organization (WHO) to develop a snakebite roadmap that aimed to halve the burden of snakebite envenoming (SBE) by 2030.... read more 
public and global health

Creating a scalable CT yield metric for pulmonary embolisms in the emergency department using an open-source large language model

medRxiv Jan 16, 2026
BackgroundCT scans are the gold-standard diagnostic test for pulmonary embolisms (PE). Despite stable PE prevalence, CT use is rising in emergency departments (EDs), suggesting test overuse. Current methods for measuring test yield are error-prone or... read more 
health systems and quality improvement

Transformer-based EEG Source Imaging Enables Robust Localization of Pathological High-Frequency Oscillations in Epilepsy

medRxiv Jan 16, 2026
ObjectiveHigh-frequency oscillations (HFOs) are highly specific biomarkers of epileptogenic tissue, yet their noninvasive localization remains challenging due to their brief duration, low amplitude, and poor signal-to-noise ratio. Here, we introduce ... read more 
neurology

Leveraging Explainable Temporal-Modelling Machine Learning to Identify Distinct Multimorbidity Trajectory Profiles in Acute Myocardial Infarction

medRxiv Jan 16, 2026
IntroductionAcute myocardial infarction (AMI) remains a leading cause of mortality, with the coexistence of other conditions (i.e., multimorbidity) complicating management and outcomes. Currently, healthcare providers see major challenges in consider... read more 
health informatics

SleePyPhases: A Workflow Framework for Sleep Data Harmonization, Analysis and Machine Learning

medRxiv Jan 16, 2026
Data-driven sleep research relies on polysomnography data from various public repositories and vendor systems. Yet the lack of standardized access methods creates substantial barriers to multi-dataset research, method reuse, and reproducibility. We p... read more 
health informatics
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