This week’s strongest medical AI papers were less about one-off detection and more about measurement infrastructure: sleep, CT, pathology, oncology, and body composition models that could reshape how…

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Nature biomedical engineering. MAIN Today we’re looking at “BoneCoT: multicentre validation of a whole-body skeleton foundation…

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from The Lancet. Obstetrics, gynaecology, & women's health. MAIN The paper is titled “Measuring large language model…

Recent Endocrinology & Diabetes coverage points to a field shifting from static thresholds toward earlier, lower-burden risk detection across sensors, routine data, and molecular signatures.

Retinal fundus images may carry measurable signals of dementia risk. In this cohort study, a foundation model applied to routine eye photographs detected existing dementia and stratified future…

A voice-based AI assistant completed most pre-procedural preparation calls for cardiac catheterization while preserving nurse escalation for clinical issues.

Low-quality slit-lamp images can undermine automated keratitis diagnosis. Jiang, Song, Yao et al. report a two-stage AI framework designed to recover image quality and preserve diagnostic performance.

A large multi-omics analysis identifies SCG2 in tumor-associated macrophages as a key mediator of 5-FU resistance in colorectal cancer.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN The paper is titled “Physicians and artificial intelligence diverge in evaluating large…

Wearable inertial sensors and Topological Data Analysis identified interpretable gait phenotypes across neuromotor conditions. In stroke, the resulting subgroups tracked with clinically meaningful differences in mobility and gait…