Artificial Intelligence-Guided Prediction of Dental Doses Before Planning of Radiation Therapy for Oropharyngeal Cancer: Technical Development and Initial Feasibility of Implementation.

Journal: Advances in radiation oncology
Published Date: Dec 29, 2021

Abstract

PURPOSE: The aim was to develop a novel artificial intelligence (AI)-guided clinical decision support system, to predict radiation doses to subsites of the mandible using diagnostic computed tomography scans acquired before any planning of head and neck radiation therapy (RT).

Authors

  • Jason W Chan
    Department of Radiation Oncology, University of California, San Francisco, California.
  • Nicole Hohenstein
    Department of Radiation Oncology, University of California, San Francisco, California.
  • Colin Carpenter
    Siris Medical Inc, Burlingame, California.
  • Adam J Pattison
    Siris Medical Inc, Burlingame, California.
  • Olivier Morin
    Department of Radiation Oncology, University of California, San Francisco, California.
  • Gilmer Valdes
    Department of Radiation Oncology, University of California, San Francisco, California.
  • Cristina Tolentino Sanchez
    Department of Oral and Maxillofacial Surgery, University of California, San Francisco, California.
  • Jennifer Perkins
    Department of Oral and Maxillofacial Surgery, University of California, San Francisco, California.
  • Timothy D Solberg
    U.S. Food and Drug Administration, Silver Spring, Maryland.
  • Sue S Yom
    Department of Radiation Oncology, University of California, San Francisco, California.

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