The Future of Artificial Intelligence in Radiation Oncology.

Abstract

Authors

• Reid F Thompson
  Oregon Health and Science University, Portland, Oregon; Veterans Affairs Portland Health Care System, Portland, Oregon. Electronic address: thompsre@ohsu.edu.
• Gilmer Valdes
  Department of Radiation Oncology, University of California, San Francisco, California.
• Clifton David Fuller
  Anderson Cancer Center.
• Colin M Carpenter
  Siris Medical, Redwood City, United States.
• Olivier Morin
  Department of Radiation Oncology, University of California, San Francisco, California.
• Sanjay Aneja
  Yale University, New Haven, Connecticut.
• William D Lindsay
  Oncora Medical, Philadelphia, Pennsylvania.
• Hugo J W L Aerts
  Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
• Barbara Agrimson
  Oregon Health and Science University, Portland, Oregon.
• Curtiland Deville
  Johns Hopkins University School of Medicine, Baltimore, Maryland.
• Seth A Rosenthal
  Sutter General Hospital, accruals for Radiological Associates of Sacramento, Sacramento, California.
• James B Yu
  Yale University, New Haven, Connecticut.
• Charles R Thomas
  Oregon Health and Science University, Portland, Oregon.

Keywords

External Resources