The American College of Radiology Data Science Institute (ACR DSI) has formed a collaboration with the American Academy of Ophthalmology (AAO).
Under the partnership, ACR DSI's AI-LAB platform will be expanded to include eye care. The AAO will contribute the ophthalmology content, while the ACR will provide the IT infrastructure to integrate the use cases and datasets into AI-LAB, according to the organizations. Developers can then build ophthalmology algorithms that include defined data elements and images useful for training and testing models.
The initiative will be led by the AAO's committee on artificial intelligence (AI), which is chaired by Dr. J. Pete Campbell.
![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)
