RadNet has formed a multisite joint venture with the not-for-profit Saint Alphonsus Health System through the acquisition of a majority equity position in Intermountain Medical Imaging, the owner of five outpatient multimodality imaging centers in Boise, ID.
Under the agreement, RadNet will assume management of operations for each of the five imaging centers. They include three in Meridian and Eagle and facilities at two Saint Alphonsus medical centers, according to RadNet.
The existing contracted radiology practice, Gem State Radiology, and its nearly 30 radiologists will continue providing professional radiology services to all five locations, RadNet said, adding that the practice will use the DeepHealth platform for radiology interpretation and reporting.
All five centers will also implement DeepHealth's cloud-first, AI-powered Operations Suite, which includes a radiology information system, patient engagement platform, and operational AI tools, RadNet noted.
Saint Alphonsus Health System is part of Trinity Health, a healthcare system based in Livonia, MI.













![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)





