American College of Radiology programs help health care organizations evaluate, monitor and implement artificial intelligence.
This article was updated July 2.
As artificial intelligence (AI) expands across health care, ACR® offers a new Imaging Ai Practice Guideline, standards and quality assurance program and a growing suite of tools to help medical facilities worldwide implement AI safely, effectively and responsibly. That was the message from ACR Board of Chancellors Chair Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP (Glasg), at the Royal College of Radiologists and National Health Service 2nd Annual Global AI Conference in London — of which ACR is again a premier partner.
In his June 30 presentation, “When the model speaks in sentences: ACR’s framework for safe deployment and monitoring across CNNs and foundation models,” Dr. Wald outlined how the new ACR Informatics International membership, international ARCH-AI recognition, Assess-AI and robust AI monitoring portfolio can help practices safely leverage emerging AI technologies to provide better patient care.
Through the ACR Data Science Institute® (DSI), tthe College developed practical resources that guide organizations through AI selection, evaluation, monitoring and governance, helping ensure AI delivers real value for patients and clinicians.
“Health systems need more than access to AI tools — they need a trusted framework for adopting and managing them,” said Dr. Wald. “ACR provides the standards, evaluation programs and performance data that help organizations use AI safely and effectively while supporting high-quality patient care.”
Through DSI, the College developed an array of products and services to support members and radiology practices. First, the Define-AI Directory engaged radiologists in the creation of structured use cases, providing input for radiology product development. Next, ACR AI-LAB was created to provide an educational, simulated environment for members to experience the entire AI product lifecycle, from initial model training to validation, inference, performance measurement and federated learning.
ACR then created AI Central, a searchable online repository of all FDA-cleared AI products to inform product comparison and practice decisions. An AI-error calculator was recently added to the site. With this new tool, practices can predict the “behavior” of commercial AI based on disease prevalence in their own patient populations. In 2024, ACR launched ARCH-AI, the first national program recognizing AI quality assurance for radiology, in the United States. Since then, the program has expanded. The first international sites achieved ARCH-AI recognition in 2026.
To support post-deployment monitoring and performance validation, ACR launched the Assess-AI registry, the first U.S. national imaging AI registry. This data service enables practices to implement post-deployment monitoring of AI in a cost-effective manner. The ACR team is actively working on incorporating a scalable, automated assessment method of the latest generation of report-drafting foundation models into Assess-AI in the very near future.
ACR was also a founding member of the Healthcare AI Challenge Consortium. This computational platform provides a safe environment for the radiologist community to experience and participate in grading the performance of radiology report drafting foundation models on embargoed data and common radiology tasks.
As radiology continues to evolve, ACR remains committed to advancing high-quality, safe, and effective patient care in the United States and around the world through innovation, collaboration, and global engagement.
For more information, contact Shawn Farley, ACR Senior Director of Public Affairs.
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