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.
Radiology Research Shows AI Reconstruction Can Sharpen Coronary CT Assessment
A February 2026 Radiology study highlighted by RSNA and indexed in PubMed found that super-resolution deep learning reconstruction improved coronary CT angiography assessment against invasive coronary angiography, with changes in CAD-RADS classification for a meaningful share of patients. The finding is notable because it points to AI’s growing role not just in detecting lesions, but in improving the underlying image reconstruction that shapes downstream diagnosis.
Pediatric Fracture Study Warns That AI Accuracy in Radiology Depends on the Test Set
A February 2026 Radiology paper indexed in PubMed found that test set composition can materially affect the measured performance of AI systems for detecting appendicular skeleton fractures in pediatric radiographs. The study is important because it challenges simplistic performance claims and reinforces that clinical AI results can shift depending on how evaluation data are assembled.
In Radiology, AI Is Advancing Faster Than the Field Can Keep Up
With over 1,000 FDA-cleared AI tools now available in radiology, RSNA 2025 showcased AI moving from flashy demos into day-to-day clinical reality. But adoption, integration, and workflow challenges remain significant hurdles.
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.