Artificial Intelligence Medical Compendium

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

Showing 1,751 to 1,760 of 200,546 articles

Boundary-Specific Failure Modes and Safety Trade-offs of Large Language Models in ChronicKidney Disease Renoprotective Therapy Review:A Stratified Synthetic Benchmark

medRxiv May 30, 2026
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inhibitors (RASi) - remain underutilisedin chronic kidney disease (CKD). Large language models (LLMs) may detect therapy omissions, but their performance... read more 
nephrology

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

medRxiv May 30, 2026
Background Bacterial fitness is shaped by interactions between genome variation and environmental context, yet how these interactions determine its predictability and heritability remains unclear. In the clinically important pathogens of Klebsiella p... read more 
genetic and genomic medicine

Towards A Foundation Model for Clinical Voice Biomarkers

medRxiv May 30, 2026
Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditions in isolation, limiting their generalizability across diseases and recording settings. To address this, we introduce VoiceFM, a contrastive model th... read more 
health informatics

Deep learning optimisation for cardiology: Neural Architecture Search-driven arrhythmia classification with electrocardiograms

medRxiv May 30, 2026
Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts for roughly 50% of all cardiac deaths. The electrocardiogram (ECG) is widely used for early diagnosis of cardiac disease. However, the complexity of a... read more 
cardiovascular medicine

The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Early Career Medical Researchers in Pakistan

medRxiv May 30, 2026
Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether early career researchers in low and middle income countries possess the awareness and habits needed to use these tools safely remains poorly documented. ... read more 
health informatics

Use of large language models by academic hospitalists: results of a multicenter survey

medRxiv May 29, 2026
Introduction: The use of artificial intelligence (AI) by clinicians has increased rapidly in recent years, with large language models (LLMs) emerging as tools that can equal clinician diagnostic performance in simulated settings. However, limited dat... read more 
health systems and quality improvement

Closed-Loop Quality Assurance for Production Clinical AI Documentation

medRxiv May 29, 2026
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaints with zero regressions on 42 tracked cases across 1,089 optimization iterations, while a deterministic assembly-agent replacement cut H+P trace laten... read more 
health informatics

Rationale and Design of an Artificial Intelligence Model for Diastolic Heart Failure (AID- HF): A Canadian Cardiomyopathy Collaborative (C3) Study

medRxiv May 29, 2026
Diastolic heart failure (HF) in primary cardiomyopathy is under-recognized and often diagnosed late, particularly in children. While recent studies have advanced understanding of HF with preserved ejection fraction in older adults, the prevalence, ou... read more 
cardiovascular medicine

Using artificial intelligence for radiotherapy clinical trial quality assurance: analysis of a multi-institutional clinical trial for neurovascular-sparing prostate stereotactic ablative radiotherapy

medRxiv May 29, 2026
Our study evaluated whether a deep learning auto segmentation model combined with machine learning triage can streamline radiotherapy clinical trial quality assurance (QA). We analyzed 107 stereotactic ablative radiotherapy (SABR) cases from a multi-... read more 
health informatics

VOGeo-Gaze: Calibration-Free, Geometry-Aware Deep Learning for Real-Time Gaze Tracking in Clinical Video-Oculography

medRxiv May 29, 2026
Quantitative eye movement analysis is important for neuro- logical diagnostics, yet existing video-oculography (VOG) systems typ- ically require calibration, device-specific settings, or accurate gaze la- bels. We present VOGeo-Gaze, a real-time, cal... read more 
health informatics
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