
Hosted by MedAI Digest · EN

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…

A refined AI-assisted ASPECTS approach improved acute ischemic stroke imaging assessment and prognostic prediction across DWI, CT, and prospective real-world cohorts.

BCGNet shows that physiological knowledge learned from PSG can strengthen contactless sleep monitoring with an under-pillow ballistocardiography device.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN Today we’re looking at “Whole body CT attenuation and volume charts from…

KGRD is a knowledge-graph-augmented AI framework designed to support diagnosis and counselling in paediatric rare genetic disorders. In benchmark testing, it outperformed baseline LLM approaches, especially when only…

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…

COMPASS is a generalizable AI model that predicts immune checkpoint inhibitor response from bulk tumor transcriptomes across multiple cancers and therapies.

Machine-learning models trained on routine clinical data predicted clinically important outcomes after guideline-directed management of aortic coarctation.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Journal of the American College of Cardiology. MAIN Let’s talk about sarcopenic obesity, because this is…

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Annals of surgery. MAIN The paper is titled “The Ambulatory Surgery Center Paradox: Why 60% of…