A human-in-the-loop GPT-4 workflow generated more than 42,000 Common Data Elements across biomedical sources, suggesting a practical route to faster data standardization.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Nature medicine. MAIN The paper we’re discussing is titled “General-purpose large language models outperform specialized clinical…

ActiTect is an open-source machine learning pipeline designed to detect REM sleep behavior disorder from wrist-worn actigraphy across recording settings.

KnDAgent is an autonomous AI agent designed to combine established medical knowledge with dynamic emergency department data for clinical decision support.

Across Infectious Disease, a pattern emerges: AI is simultaneously uncovering the molecular basis of infection susceptibility while enabling precise, real-time prediction of clinical outcomes. Biology and prediction converging.

IBDome presents a large, integrated atlas of inflammatory bowel disease that links clinical phenotype, endoscopy, histology, molecular profiles, serum proteins, and H&E imaging.

PathTIGR is an interpretable graph learning framework designed to predict cancer immunotherapy response from patient genomic alterations while preserving pathway context.

SonoEye is a vision-language ultrasound foundation model designed to screen, diagnose, and stratify ophthalmic disease risk from ultrasound. The study also introduces Eye-RADS, a 4-tier framework for communicating…

Prompt-directed ambient AI improved the quality of multidisciplinary head and neck tumor board documentation while reducing administrative documentation time.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from The Lancet. Digital health. MAIN Today we’re looking at a modelling study titled “Large language models…