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Sep 27
Education

EDU 01 - Artificial Intelligence, Robotics and Emerging Technologies in Gynecologic Radiation Oncology: From Automation to Precision Delivery

03:00pm - 04:00pm ET
Gynecological Cancer

MODERATOR(S)

Scott Silva, MD, PhD - University of Louisville

session DESCRIPTION

Artificial intelligence (AI), robotics and emerging engineering innovations are reshaping radiation oncology workflows, offering new possibilities for precision, personalization and efficiency. In gynecologic cancers, AI is being applied to automate contouring, optimize treatment planning, and predict clinical outcomes. Meanwhile, novel device technologies, such as robotically steerable applicators are redefining how brachytherapy can be delivered with greater accuracy. This educational session brings together a multidisciplinary panel of experts in radiation oncology, medical physics, and biomedical engineering to highlight how AI and robotics are advancing gynecologic cancer care. Attendees will gain a practical understanding of state-of-the-art tools, translational research, and implementation strategies that will shape the next decade of gynecologic radiation oncology. Through case-based presentations and a moderated discussion, participants will learn how to critically assess and integrate robotics, AI, and device innovations while maintaining quality, safety and equity in patient care.

learning objectives

  1. Describe current and emerging applications of AI in gynecologic cancer management, including automated contouring, adaptive planning and outcome prediction.
  2. Evaluate the role of AI and engineering innovation in optimizing brachytherapy delivery, including steerable applicators and robotic guidance.
  3. Identify workflow, ethical and regulatory considerations for implementing AI-based and device-driven technologies in clinical practice.

Credits

AMA PRA Category 1 Credits: 1.00

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