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

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…

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

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

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…

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…

Early-stage ALS may disrupt how brain structure and function align before widespread structural connectivity loss is evident.

Coronary CT angiography may reveal more than coronary anatomy. In this SCOT-HEART analysis, machine learning-derived body composition measures were associated with coronary disease, myocardial infarction, and 10-year mortality.

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…

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