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Point/Counterpoint Live Debate: Artificial Intelligence Will Soon Change the Landscape of Medical Physics Research and Practice

J Cai1*, L Xing2*, E Krupinski3*, (1) The Hong Kong Polytechnic University, Kowloon, Yau Tsim Mong, (2) Stanford Univ, School of Medicine, Stanford, CA, (3) Emory University, Atlanta, GA


(Thursday, 8/2/2018) 7:30 AM - 9:30 AM

Room: Karl Dean Ballroom B1

Artificial Intelligence (AI) technology has great promises in improving radiation therapy from treatment planning to treatment assessment. It can aid radiation oncologists in reaching unbiased consensus treatment planning, help train junior radiation oncologists, update practitioners, reduce professional costs, and improve quality assurance in clinical trials and patient care. It can significantly reduce physicians’ time and efforts required to contour, plan, and review. Nevertheless, we should also be aware of certain restrictions and limitations pertaining to AI, and their temporal dynamics as they will change as new materials and new technologies are discovered in the future. This debate will provide the audience a comprehensive review of the AI technology in radiation therapy in a unique debate setting, and a vivid discussion on the roles and limitations of AI technology in radiation therapy.

Learning Objectives:
1. Learn the basics of AI technology and its clinical applications in radiation therapy.
2. Understand the limitations and constrictions of AI technology for radiation therapy
3. Discuss the potential roles and clinical impacts of AI technology in radiation therapy



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