Reston, VA (Nov. 27, 2024) – The American College of Radiology® (ACR®) announced today that it will take part in “Radiology Reimagined: AI, innovation and interoperability in practice” to be held Dec. 1–4 at the 110th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2024), the world’s leading annual medical imaging forum, at McCormick Place in Chicago.
“Radiology Reimagined: AI, innovation and interoperability in practice” formerly known as “Imaging AI in Practice,” features a demonstration of new AI technologies and integration standards needed to embed AI into the diagnostic radiology workflow. The interactive exhibit will enable attendees to determine what is possible, identify the right questions to ask, and learn how to introduce and scale AI into their radiology practices.
This year’s demonstration features 25 products from 20 vendor partners, each demonstrating cutting-edge use cases across various subspecialties such as neurology, prostate imaging, ambulatory care, obstetric imaging and radiology-pathology correlation. Using real-world clinical scenarios and interoperability standards, vendors will walk RSNA 2024 meeting attendees through the exhibit to experience new tools and practice enhancements enabled by AI.
Each demonstration follows a fictional patient through a clinical scenario involving both emergent and long-term care and highlights many steps in the radiology workflow where AI can assist the radiologist and improve the efficiency and quality of care.
The ACR’s Assess-AI is the world’s first artificial intelligence (AI) quality registry designed to monitor ongoing performance of an array of imaging AI algorithms in real world clinical settings. Assess-AI is the newest ACR National Radiology Data Registry, capable of monitoring AI results and collecting an array of contextual information such as patient demographics, modality/exam meta data and output from radiology reports.
Assess-AI provides radiology sites with analytics on how clinical AI is operating in their own practices over time and helps them compare their results against aggregated national performance benchmarks from other sites using identical or similar products.
“Radiological AI users need to ensure that AI models are effective in their local environment,” said Christoph Wald, MD, PhD, MBA, FACR, vice chair of the ACR Board of Chancellors and chair of the ACR Commission on Informatics. “Most existing radiology production systems (PACS, etc.) were not engineered to provide information on AI model performance in clinical settings. Assess-AI provides facilities with cost-effective, real-world insights into the performance of deployed AI products, assisting sites in addressing challenges related to AI implementation and ongoing usage.
Radiology Reimagined: AI, innovation and interoperability in practice will be presented Sunday, Dec. 1 to Wednesday, Dec. 4 (10 a.m. – 5 p.m. CT) at RSNA 2024, McCormick Place, South Hall A, Level 3 – AI Showcase – Booth 5104.
For more information on RSNA 2024 or to register, visit RSNA.org/annual-meeting.
To speak with an ACR spokesperson, contact the ACR Public Affairs team at PR@acr.org.
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The American College of Radiology® (ACR®), founded in 1924, is a 42,000-member medical association that advances patient care, medical practice and collaborative results through advocacy, quality standards, research and education.