Artificial Intelligence Medical Compendium

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

Showing 60,751 to 60,760 of 228,264 articles

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

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

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

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

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

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

Computer Vision-Based Retrieval of Steps and Errors in Laparoscopic Cholecystectomy

medRxiv Jan 16, 2026
Traditional surgical training relies heavily on hands-on experiences gained through relatively infrequent procedures during apprenticeships. Recently, postoperative review has become a valuable supplement to this model, offering learning opportunitie... read more 
surgery

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

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

medRxiv Jan 16, 2026
BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parenchymal integrity may impact proper function but are not routinely used for risk stratification. Here, we propose an AI-pipeline to quantify pancreas vol... read more 
gastroenterology

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
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