AI in Healthcare
The latest on artificial intelligence transforming medicine
News stories discovered and organized by an automated pipeline. Covering clinical deployments, research breakthroughs, regulation, and industry developments.
UC Davis resident’s grant points to a new frontier: AI for surgical skills assessment
A vascular surgery resident at UC Davis Health has received funding to build an AI model that can assess surgical technical skills. The project reflects a growing effort to bring objective measurement into medical training and performance evaluation.
Duke’s AI diagnosis debate shows how academic medicine is wrestling with trust
A Duke Chronicle report examines where Duke stands on AI for diagnosis, underscoring the mix of ambition and caution inside academic medicine. Universities are increasingly treating AI as both a research frontier and a governance challenge.
Medical educators confront the AI tipping point before students do
At a University of Miami conference on innovation in medical education, the central question was no longer whether AI belongs in training, but how quickly curricula need to change. The event reflects a broader scramble across health professions schools to define what future clinicians should learn when machine assistance is becoming routine.
Seven Major Language Models Tested on Radiology Exam Show Uneven Clinical Readiness
A Cureus study compared seven mainstream large language models on the 2022 American College of Radiology Diagnostic Imaging In-Training Examination. The results offer a useful reality check on how far general-purpose AI still is from dependable radiology support.
Military medicine’s new AI radiology training program shows adoption is shifting from tools to workforce
Uniformed Services University has launched AI radiology training aimed at strengthening military medical readiness, signaling that healthcare AI adoption increasingly depends on clinician education, not just software deployment. The move highlights a broader market transition from experimentation with models to building AI-literate workforces able to use them safely and effectively.
How this works
Discover
An automated pipeline searches the web for significant AI healthcare news across clinical, research, regulatory, and industry domains.
Structure
The pipeline turns source material into concise, readable stories with categories, tags, and context that make the feed easier to scan.
Publish
Stories are deduplicated, stored, and published to this site. The pipeline runs automatically to keep coverage current.