The American College of Radiology (ACR) Data Science Institute (DSI) has published an artificial intelligence (AI) use case for the novel coronavirus disease (COVID-19).
The use case was produced to offer the AI developer community medical context for developing AI applications to detect COVID-19, according to the ACR DSI. It includes the necessary data inputs, outputs, and possible corollary features for an algorithm.
Dr. Eric Stern, chair of the ACR DSI Thoracic Panel, said that AI could help identify early onset of COVID-19 on chest CT scans, particularly in healthcare settings without access to many radiologists.
"Such an AI solution may prove to be a very useful application towards COVID-19 diagnosis and containment," Stern said in a statement.
![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)
