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.

Left and right hemispheres differ in coordinated structural patterns, not only in isolated regions. Hu, Guo, Pu et al. show that these global asymmetry signatures change with aging…

A proof-of-concept study reports that combining urine molecular spectra with carotid B-ultrasound images may improve noninvasive classification of ischemic stroke compared with either modality alone.

ScoliosisPLAN links AI-based fusion-level planning with simulated postoperative radiographs for adolescent idiopathic scoliosis, aiming to make surgical planning more standardized and individualized.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from Nature communications. MAIN Today we’re looking at “A deep learning framework for efficient pathology image analysis,”…

An AI segmentation system, PelviX3Net, improved surgeons’ recognition of critical pelvic anatomy during minimally invasive pelvic lymph node dissection.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN The paper is titled “Structured reasoning failures compromise LLM interpretation of clinical…

AFP Assistant is a multilingual chatbot designed to improve acute flaccid paralysis and polio surveillance in low-resource Ethiopian language communities.

HemaGuide shows how large language models can become more clinically useful when grounded in guidelines, tumor board memory, literature retrieval, and molecular interpretation tools.