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.
Can Radiologists Spot a Deepfake X-ray Before It Spreads?
A Medscape feature asks radiologists whether they can identify manipulated X-rays, bringing medical deepfakes into the imaging conversation. The issue is no longer hypothetical: synthetic images could affect education, fraud, quality control, and trust in diagnostic data.
AI-generated radiology reports are becoming an integrity problem, not just a productivity tool
Researchers are developing tools to detect AI-generated radiology reports, highlighting a new integrity challenge for clinical documentation. As generative AI enters reporting workflows, the issue is no longer merely speed but authorship, accountability, and the risk of low-friction synthetic documentation entering the medical record.
UB Researchers’ Push to Detect AI-Written Radiology Reports Opens a New Integrity Front
Researchers at the University at Buffalo are developing a tool to identify AI-generated radiology reports, signaling growing concern over provenance in clinical documentation. The effort reflects a broader shift from asking whether generative AI can draft reports to whether health systems can verify what was human-authored, machine-assisted, or fully machine-generated.
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.