Artificial Intelligence in Cancer Care: Legal and Regulatory Dimensions.

Journal: The oncologist
Published Date:

Abstract

Considering that artificial intelligence (AI) technologies have the potential to change cancer care, this article discusses the AI features of which oncologist should most be aware.

Authors

  • Vrushab Gowda
    Harvard Law School, Cambridge, Massachusetts.
  • Tendai Kwaramba
    Internal Medicine Department, Tulane University, New Orleans, Louisiana, USA.
  • Cynthia Hanemann
    Radiology Department, Tulane University Medical School, New Orleans, Louisiana, USA.
  • Jorge A Garcia
    Lauren C. Harshman and Christopher J. Sweeney, Dana-Farber Cancer Institute, Harvard Medical School; Yu-Hui Chen, Dana-Farber Cancer Institute, Eastern Cooperative Oncology Group-American College of Radiology Imaging Network Cancer Research Group, Boston, MA; Glenn Liu and David Jarrard, University of Wisconsin School of Medicine and Public Health and Carbone Cancer Center, Madison, WI; Michael A. Carducci, Noah Hahn, and Mario Eisenberger, Johns Hopkins University, Baltimore, MD; Robert Dreicer, University of Virginia Cancer Center, Charlottesville, VA; Jorge A. Garcia, Cleveland Clinic Taussig Cancer Institute; Matthew Cooney, University Hospitals Cleveland Medical Center, Seidman Cancer Center, Cleveland, OH; Maha Hussain, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago; Daniel Shevrin, NorthShore University Health System, Evanston, IL; Manish Kohli, Mayo Clinic, Rochester, MN; Elizabeth R. Plimack, Fox Chase Cancer Center, Temple Health, Philadelphia, PA; Nicholas J. Vogelzang, Comprehensive Cancer Centers of Nevada, Las Vegas, NV; Joel Picus, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO; and Robert Dipaola, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ.
  • Pedro C Barata
    Section of Hematology/Oncology, Deming Department of Medicine, Tulane University Medical School, New Orleans, Louisiana, USA.