Artificial intelligence (AI) software developer Aidoc has signed a deal with UofL Health in Kentucky to implement the company's AI applications.
UofL Health is affiliated with the University of Louisville, which in March introduced the Center for AI in Radiological Sciences (CAIRS) to promote the use of AI in collaboration between data and clinical teams.
UofL Health will incorporate Aidoc's algorithms from the company's AI Care Platform and will use AI to prioritize cases from a radiologist's worklist that may be positive for disease. In particular, UofL will employ Aidoc algorithms to identify and prioritize cases of intracranial hemorrhage, pulmonary embolism, incidental pulmonary embolism, cervical spine fractures, rib fractures, and intra-abdominal free gas.
UofL is the first academic medical center in Kentucky to implement Aidoc's software.
![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)
