Enhancing Safety in AI-Driven Cone Beam CT-based Online Adaptive Radiation Therapy: Development and Implementation of an Interdisciplinary Workflow.

Journal: Advances in radiation oncology
Published Date: Nov 3, 2023

Abstract

PURPOSE: The emerging online adaptive radiation therapy (OART) treatment strategy based on cone beam computed tomography allows for real-time replanning according to a patient's current anatomy. However, implementing this procedure requires a new approach across the patient's care path and monitoring of the "black box" adaptation process. This study identifies high-risk failure modes (FMs) associated with AI-driven OART and proposes an interdisciplinary workflow to mitigate potential medical errors from highly automated processes, enhance treatment efficiency, and reduce the burden on clinicians.

Authors

  • Yi-Fang Wang
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • Michael J Price
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • Carl D Elliston
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • Reshma Munbodh
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • Catherine S Spina
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • David P Horowitz
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.
  • Lisa A Kachnic
    Department of Radiation Oncology, New York-Presbyterian Columbia University Irving Medical Center.

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