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.
Finding Solutions at the ACR Annual Q&S + Informatics (Q&S+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 moreACR Responds to RFI on AI Regulatory Reform
ACR urged the White House to enhance AI oversight and payment policies to support safe, effective, and reimbursable clinical AI use.
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.
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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