Artificial intelligence applications in brachytherapy: A literature review.

Journal: Brachytherapy
Published Date:

Abstract

PURPOSE: Artificial intelligence (AI) has the potential to simplify and optimize various steps of the brachytherapy workflow, and this literature review aims to provide an overview of the work done in this field.

Authors

  • Jonathan Zl Zhao
    Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, Canada; Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
  • Ruiyan Ni
    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
  • Ronald Chow
    Princess Margaret Cancer Centre, University Health Network, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Alexandra Rink
    Department of Radiation Physics, Princess Margaret Cancer Centre, ON, M5G 2M9, Canada.
  • Robert Weersink
    Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
  • Jennifer Croke
    Princess Margaret Hospital Cancer Centre, Radiation Medicine Program, Toronto, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Canada.
  • Srinivas Raman
    Department of Radiation Oncology, BC Cancer Vancouver, 600 W 10th Ave, Vancouver, BC, V5Z 4E6, Canada, 1 416-946-4501.