ACR Chair to Highlight Quality Assurance at Global AI Conference

ACR is again a premier partner for the Royal College of Radiologists and National Health Service 2nd Annual Global AI Conference in London. As part of the program, ACR Board of Chancellors Chair Christoph Wald, MD, PhD, MBA, FACR, Hon FRCP(Glasg) will invite attendees to consider using ACR national quality assurance framework and registries for the implementation and post-deployment monitoring of AI in radiology.

Dr. Wald’s June 30 presentation, “When the model speaks in sentences: ACR’s framework for safe deployment and monitoring across CNNs and foundation models”, will outline how the new ACR Informatics International membership, international ARCH-AI recognition, and robust AI portfolio can help leverage emerging AI technologies to provide better patient care.

Through the ACR Data Science Institute®, the College has 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 national imaging AI registry. This data service enables practices to implement post-deployment monitoring of Ai in a cost-effective manner.

ACR was also a founding member of the Healthcare AI Challenge Consortium. This computational platform provides a safe environment for radiologists to experience and grade the performance of radiology report drafting foundation models. Dr. Wald will also present some of the initial insights from this effort.

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.