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Location: Marriott Marquis
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Main Session

EDU 52 - Artificial Intelligence in Precision Oncology: Early Clinical Applications for Your Radiation Oncology Clinic

Navigating the AI Landscape: Practical Integration of AI in Radiation Oncology

Tuesday, October 1, 2024
4:02 PM – 4:14 PM ET
Location: Room 144

    Speaker(s)

  • Ellen Kim, MD

    Brigham and Women's Hospital/Dana-Farber
    Boston, MA

Learning Objectives:

  1. Enhance their understanding of the latest AI applications in radiation oncology, focusing on early clinical implementations and explain the current state of AI integration in radiation oncology clinics, highlighting key areas of impact and improvement in patient outcomes.
  2. acquire the skills necessary to assess and determine the feasibility of integrating AI tools in their clinical practices and assess the practicality and prerequisites of adopting AI technologies in radiation oncology, including necessary infrastructure and training requirements.
  3. facilitate an environment for applying new strategies and considering practice modifications in light of AI advancements and discuss potential future applications of AI in radiation oncology, enabling participants to anticipate and plan for the integration of these advancements into their clinical practice.