AI-Powered Learning for Smarter Radiology Education
This article discusses the role of AI in radiology and how AI errors can be reframed as enhanced learning opportunities in radiology education.
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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.
AI-Powered Learning for Smarter Radiology Education
This article discusses the role of AI in radiology and how AI errors can be reframed as enhanced learning opportunities in radiology education.
Read moreFinding Solutions at the ACR Annual Q&S + Informatics (QS+I) Conference
The ACR Annual Conference on Quality and Safety + Informatics left attendees feeling optimistic about the future as they found actionable solutions to challenges facing the specialty.
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Massachusetts Legislature Updates Prior Authorization Bill
Massachusetts HB 4616 aims to streamline prior authorization, boost transparency, and study its impact on care access and costs.
Read moreHave you tuned into whatās going on at the Data Science InstituteĀ® (DSI)? Weāre 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.
Learn moreUse the most complete and searchable directory of AI products in the U.S. to make better purchasing decisions.
Make strategic decisionsPropose, participate in and study use cases to help build the framework for the development and implementation of AI applications in radiology.
See the use cases