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.
RadNet’s Idaho joint venture shows imaging consolidation is still accelerating
RadNet is forming a joint venture to manage imaging centers in Idaho, extending its footprint through a partnership model rather than outright acquisition. The move reflects how national imaging companies are using local deals to expand scale while maintaining access to regional markets.
GE HealthCare’s International RadNet Deal Shows Imaging AI Is Going Global
GE HealthCare is expanding its partnership with RadNet beyond the U.S., signaling that imaging AI is moving from domestic pilots into international commercialization. The deal underscores how vendor partnerships are becoming central to the race to scale AI across imaging networks.
GE HealthCare Deepens Its Mammography Bet as Breast AI Moves Toward Scale
GE HealthCare’s latest expansion with DeepHealth and RadNet underscores how breast imaging AI is shifting from isolated pilots to broader commercial deployment. The deal is less about a single algorithm and more about building a repeatable screening platform that can be distributed across health systems.
GE HealthCare, DeepHealth and RadNet Expand the Breast AI Race
A broadened collaboration between GE HealthCare, DeepHealth and RadNet highlights how breast imaging AI is consolidating around a few platform players. The deal reflects a market increasingly defined by deployment scale, not just algorithm performance.
RadNet’s Gleamer move shows imaging AI competition shifting from tools to integrated workflow control
RadNet’s deal with Gleamer points to a more mature imaging AI market where value comes from embedding models into reading, triage, and operational workflow rather than selling isolated point solutions. The strategy underscores how imaging providers increasingly want platform leverage, not a patchwork of standalone algorithms.
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.