Surgical data science and artificial intelligence for surgical education.

Journal: Journal of surgical oncology
Published Date: Aug 1, 2021

Abstract

Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.

Authors

  • Thomas M Ward
    Surgical AI & Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, 15 Parkman Street, WAC460, Boston, MA 02114, USA.
  • Pietro Mascagni
    IHU Strasbourg, Strasbourg, France.
  • Amin Madani
    Department of Surgery, Columbia University Irving Medical Center, 161 Fort Washington Avenue, New York, NY 10032, USA.
  • Nicolas Padoy
    IHU Strasbourg, Strasbourg, France.
  • Silvana Perretta
    IHU Strasbourg - Institut de Chirurgie Guidée par l'image, Strasbourg, France.
  • Daniel A Hashimoto
    Department of Surgery, Massachusetts General Hospital, Boston, MA.

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