AI Governance: Plans in Place?
Implementation of AI governance is imperative for excellent patient care.
Read moreThe 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.
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AI Governance: Plans in Place?
Implementation of AI governance is imperative for excellent patient care.
Read moreState Legislators Introduce AI Bills
The American College of Radiology® (ACR®) is tracking 20 bills across 12 states addressing artificial intelligence (AI) and more bills are expected to be introduced.
Read moreNew HHS Strategic Plan For Artificial Intelligence Echoes ACR Recommendations
The U.S. Department of Health and Human Services (HHS) released a nonbinding roadmap to signal its near- and long-term priorities for artificial intelligence (AI) in healthcare. The plan prioritizes four overarching areas: AI innovation and adoption; trustworthiness and responsible use; democratization and equitable access; and workforce and organizational culture. It echoes various AI policy recommendations of the American College of Radiology® (ACR®) to the federal government over the past decade, and discusses radiology’s leadership in the current healthcare AI market.
Read moreHave 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.
Find out moreThe 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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