Radiology Partners has entered into a strategic partnership with Stanford Radiology’s AI Development and Evaluation (AIDE) Lab.
Through its technology and AI services division, Mosaic Clinical Technologies, Radiology Partners, and the AIDE Lab will develop new methods for assessing and continuously monitoring medical imaging AI tools. The research will be conducted at Stanford University and will include active participation from Radiology Partners radiologists and data science teams, the firm said.
“By combining [the AIDE Lab’s] academic expertise with [Radiology Partners’] scale and clinical integration experience, we have the opportunity to develop and share evidence-based systems for AI validation and monitoring that work in real-world practice,” said Nina Kottler, MD, chief medical AI officer for Mosaic Clinical Technologies, in a news release.
![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&dpr=2&fit=crop&h=167&q=70&w=250)
