Role of Machine Learning and Artificial Intelligence in Interventional Oncology.

Journal: Current oncology reports
Published Date: Apr 20, 2021

Abstract

PURPOSE OF REVIEW: The purpose of this review is to highlight the current role of machine learning and artificial intelligence and in the field of interventional oncology.

Authors

  • Brian D'Amore
    Drexel University College of Medicine, 2900 W Queen Lane, Philadelphia, PA, 19129, USA.
  • Sara Smolinski-Zhao
    Division of Interventional Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street; Gray #290, Boston, MA, 02114, USA.
  • Dania Daye
    Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA. Electronic address: ddaye@mgh.harvard.edu.
  • Raul N Uppot
    Division of Interventional Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit Street; Gray #290, Boston, MA, 02114, USA. uppot.raul@mgh.harvard.edu.

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