Artificial Intelligence Medical Compendium

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

Showing 5,131 to 5,140 of 204,028 articles

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

Keeping human in the loop: A three-phase generative AI workflow for research integrity in data-intensive science.A methodological case study using elite Ethiopian distance-running data

medRxiv May 29, 2026
Background: Generative AI tools can support data-intensive research by writing code, drafting prose, searching analytical possibilities, and stress-testing claims. They can also produce false citations, drift between statistical specifications, and l... read more 
sports medicine

A Multi-Agent RAG Framework for Biomedical Literature Analysis

bioRxiv May 29, 2026
Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new articles indexed on PubMed each day. Clinicians and researchers frequently lack the time to review this volume before making decisions. Retrieval-Augment... read more 
bioinformatics

MICAFlow: Fast and Robust MRI Preprocessing Bridging Research Neuroimaging and Clinical Practice

bioRxiv May 29, 2026
MICAFlow is a fully automated MRI preprocessing pipeline designed to translate advanced neuroimaging workflows from research into routine clinical practice. The pipeline emphasizes speed, robustness, and ease of use, focusing on structural and diffus... read more 
bioinformatics

Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers

bioRxiv May 29, 2026
Spatial transcriptomics couples hematoxylin and eosin (H&E) tissue morphology with spatially resolved gene expression (GE). However, generative models that exploit this coupling to synthesize tissue images from transcriptomic profiles remain scarce. ... read more 
bioinformatics
Popular Topics
Recent Journals