Clin-FFA-VLM was designed to interpret fundus fluorescein angiography (FFA) in the same sequence used by retina specialists: recognize lesions, produce a report, then make a diagnostic decision. In…

Digital Health & Informatics is moving beyond isolated accuracy claims: the current pattern is context-aware adaptation, interpretable decision support, and tougher evidence for whether sensing and prediction can…

Strong discrimination did not guarantee stable operational performance. In a six-year simulation of emergency-triage admission prediction, substantial covariate drift accompanied worsening calibration and bed-demand error, while periodic retraining…

A Vision Transformer model trained on static B-mode ultrasound images predicted air-enema reduction failure in children with ileocolic intussusception with high accuracy in prospective validation. Its performance exceeded…

Frontier large language models achieved strong scores on cardiology residency in-service examination items, reaching 86.4% accuracy. Yet this study shows why an examination score alone is an incomplete…

BrainSeg is a unified deep-learning framework designed to segment brain tissues, parcellate 106 anatomical regions, and label lesions across diverse imaging settings without retraining or fine-tuning for each…

Longitudinal patterns in diagnoses, prescriptions, and procedures may identify people at risk of recorded Alzheimer’s disease and related dementias (ADRD) years before diagnosis. In a large retrospective study,…

A single-lead AI-ECG model detected left ventricular systolic dysfunction (LVSD) in pediatric and congenital heart disease populations with strong internal and external performance. Noise augmentation was central: it…

Neurology AI is shifting from single-task detection toward deployable decision support, low-burden digital biomarkers, and models that separate overlapping neurodegenerative trajectories.

Transcript INTRO Welcome to Medical AI Digest Podcast. Today, a paper from NPJ digital medicine. MAIN Let’s talk about paroxysmal nocturnal hemoglobinuria, or PNH, and why it is…