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AI in Clinical Medical Physics

S Brady1*, J Wells2*, D Ruan3*, Y Xiao4*, (1) Cincinnati Childrens Hospital Med Center, Cincinnati, OH, (2) Duke University Medical Center, Durham, NC, (3) UCLA School of Medicine, Los Angeles, CA, (4) University of Pennsylvania, Philadelphia, PA


(Tuesday, 7/14/2020) 11:30 AM - 12:30 PM [Eastern Time (GMT-4)]

Room: Track 2

As artificial intelligence (AI) in Radiology and Radiation Therapy continue to grow, the role of the clinical medical physicist also continues to evolve. Once primarily a research driven topic, AI now has found mainstream adoption in diagnostic imaging in image generation, post processing at the scanner to diagnosis and prediction in the reading room. In radiation therapy, AI is finding application in clinical trials, automated learning from electronic health record data and treatment planning. In this session, we will explore the evolving role of the clinical medical physicist as they work with their colleagues to identify, implement, and maintain new AI technologies as a clinical tool.

Learning Objectives:
1. How is AI being used to evaluate plan quality as part of clinical trials
2. What are implications of uncertainty in AI models and strategies for minimizing clinical impact
3. What are approaches for evaluating vendor supplied AI



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