VR and machine learning: novel pathways in surgical hands-on training.

Journal: Current opinion in urology
Published Date: Nov 1, 2020

Abstract

PURPOSE OF REVIEW: Surgical training has dramatically changed over the last decade. It has become not only the way to prepare surgeons for their everyday work, but also a way to certify their skills thus increasing patient safety. This article reviews advances in the use of machine learning and artificial intelligence applied to virtual reality based surgical training over the last 5 years.

Authors

  • Domenico Veneziano
  • Giovanni Cacciamani
    Department of Urology, Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • Juan Gomez Rivas
    Department of Urology, La Paz University Hospital, Madrid, Spain.
  • Nicola Marino
    Department of Medical and Surgical Sciences, Università degli Studi di Foggia, Foggia, Italy.
  • Bhaskar K Somani
    University Hospital Southampton NHS Trust, Southampton, Hampshire, UK.

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