How the use of the artificial intelligence could improve surgical skills in urology: state of the art and future perspectives.

Journal: Current opinion in urology
Published Date: Jul 1, 2021

Abstract

PURPOSE OF REVIEW: As technology advances, surgical training has evolved in parallel over the previous decade. Training is commonly seen as a way to prepare surgeons for their day-to-day work; however, more importantly, it allows for certification of skills to ensure maximum patient safety. This article reviews advances in the use of machine learning and artificial intelligence for improvements of surgical skills in urology.

Authors

  • Giovanni E Cacciamani
    USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA - giovanni.cacciamani@med.usc.edu.
  • Arya Anvar
    USC Institute of Urology and Catherine & Joseph Aresty Department of Urology, Keck School of Medicine.
  • Andrew Chen
    University of Illinois at Urbana-Champaign, Department of Computer Science.
  • Inderbir Gill
    USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Andrew J Hung
    Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California. Electronic address: Andrew.Hung@med.usc.edu.

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