
The American College of Radiology (ACR) Data Science Institute (DSI) has created a Pandemic Artificial Intelligence Response (PAIR) community to assist in the fight against COVID-19 and future pandemics.
In the near term, the PAIR community will seek to leverage the ACR and other resources to target COVID-19, the ACR DSI said. Over the long term, the community plans to develop a framework for preparing clinical radiologists and researchers to combat potential future infectious disease outbreaks, according to the organization.
Specifically, the PAIR community will seek to provide resources such as the following:
- A COVID-19 case repository
- An ACR Assist module for COVID-19 reporting
- Algorithm repository and local algorithm evaluation
- A federated framework for artificial intelligence model creation
- A multipurpose and artificial intelligence-relevant national COVID-19 image and metadata registry
- Artificial intelligence use case development
The ACR said it will work with all relevant imaging societies, other medical organizations, federal agencies, and industry stakeholders on the initiative. More information on the PAIR community can be found on the ACR DSI's website.












![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)





