Getting paid for radiology AI

2022 08 16 01 30 0239 2022 08 17 Webinar Thumbnail Image 400

Did you know that your radiology facility can get paid for using artificial intelligence (AI) as part of the interpretation of imaging scans? It's true, but it's not necessarily easy. Find out how to do it in this webinar from August 10 featuring three key opinion leaders in imaging AI.

Dr. Peter Chang is co-director of the Center for Artificial Intelligence in Diagnostic Medicine and is assistant professor-in-residence at the Radiological Sciences School of Medicine at the University of California, Irvine. He is also co-director of the Precision Health through Artificial Intelligence (PHAI) School of Medicine at the university. His research interests include development, validation, and clinical deployment of AI algorithms, as well as standardizing and evaluating high-quality datasets.

Dr. Ryan K. Lee is associate professor of radiology at the Sidney Kimmel College at Thomas Jefferson University. He is the chair of the department of radiology in the Einstein Healthcare Network, now part of Jefferson Health. He serves in multiple leadership roles on committees for the American College of Radiology and is the vice chair of the Radiology Leadership Institute's Radiology Residency Milestones program and an alternate RVS update committee (RUC) advisor for the American Society of Neuroradiology.

Ameena Elahi is the application manager of the medical imaging management team at Penn Medicine's information services department. She is responsible for project oversight for medical imaging applications, including research and AI. She is also co-chair of the Clinical Imaging Artificial Intelligence AI Program, and she serves on the leadership team of RAD-AID as informatics operations director. Additionally, she is a member of the board of directors for the Society for Imaging Informatics in Medicine (SIIM).

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