The American College of Radiology (ACR) is launching the ACR Recognized Center for Healthcare-AI (ARCH-AI) in what the college is calling the first national AI quality assurance program for radiology facilities.
The program, which the ACR said is built on best practices, outlines expert consensus-based building blocks of infrastructure, processes, and governance in AI implementation in real-world practice. The center aims to help radiology practices provide safe and effective implementation of AI products and help radiologists provide better patient care.
ARCH-AI site recognition criteria include the following:
- Establishing an interdisciplinary AI governance group
- Maintaining an inventory of AI algorithms with detailed documentation
- Ensuring adherence to security and compliance measures
- Engaging in diligent review and selection of AI algorithms
- Documenting use cases and training procedures
- Monitoring algorithm performance, including safety and effectiveness
- Contributing to the “Assess-AI” central AI registry for performance benchmarking
Radiology practices that complete the ARCH-AI process will receive an ACR Recognition badge to display in their waiting rooms and lobbies. More information can be found on the ACR'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&dpr=2&fit=crop&h=167&q=70&w=250)
