Q&A With Chair of the ACR Commission on Quality and Safety
Q&A with ACR Quality and Safety Chair Ben Wandtke, MD, MS, on AI, imaging quality, performance improvement and the future of radiology care.
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The state of data science and imaging brings you an inside look at the technology revolutionizing the imaging landscape.

Data science and informatics change constantly. There’s never been a better time to push the boundaries of what’s possible.
As an ACR® member, you have the exciting opportunity to get involved with the latest advancements in machine learning. See how artificial intelligence (AI) advancements move radiology forward and work together with our AI developer community to strive for excellence in the next frontier of diagnostic imaging.
Keep current on advancements that impact your career and tune into the AI Assistant blog for informative posts at the intersection of medicine and technology.
Q&A With Chair of the ACR Commission on Quality and Safety
Q&A with ACR Quality and Safety Chair Ben Wandtke, MD, MS, on AI, imaging quality, performance improvement and the future of radiology care.
Read moreACR 2026 Updates and On-Demand Recordings
ACR 2026 Annual Meeting highlights include election results, resolutions adopted, new practice parameters for imaging AI and access to on-demand recordings.
Read moreThe Long-Range Nature of Informatics
The outgoing and incoming chairs for the ACR Commission on Informatics talk leadership and collaboration to provide essential resources to ACR members.
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Have you tuned into what’s going on at the Data Science Institute® (DSI)? We’re driving the innovation of tomorrow, and we want you to be an integral part of it all. Gain confidence in the latest technology advancing our field, take part in DSI Use Cases, get access to the dataset directory and more.
Learn what it takes for your organization to be recognized for safe and effective AI use in imaging interpretation.

The first large-scale quality registry in AI that provides algorithm performance monitoring in clinical practice by capturing real-world data in a clinical setting.
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Make strategic decisionsPropose, participate in and study use cases to help build the framework for the development and implementation of AI applications in radiology.
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