The Film Room: Using Artificial Intelligence to Facilitate Video Review for Urology Trainees.

Journal: Journal of surgical education
PMID: 39305604

Abstract

Video-based educational programs offer a promising avenue to augment surgical preparation, allow for targeted feedback delivery, and facilitate surgical coaching. Recently, developments in surgical intelligence and computer vision have allowed for automated video annotation and organization, drastically decreasing the manual workload required to implement video-based educational programs. In this article, we outline the development of a novel AI-assisted video forum and describe the early use in surgical education at our institution.

Authors

  • Grant M Henning
    Division of Urologic Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Bridget L Findlay
    Department of Urology, Mayo Clinic, Rochester, Minnesota 55905.
  • Tal D Cohen
    Department of Urology, Mayo Clinic, Rochester, Minnesota 55905.
  • Aaron M Potretzke
    Washington University School of Medicine, Division of Urology, St. Louis, MO, USA.
  • Tobias S Kohler
    Department of Urology, Mayo Clinic, Rochester, Minnesota 55905.
  • Sevann Helo
    Department of Urology, Mayo Clinic, Rochester, Minnesota 55905.
  • Candace F Granberg
    Department of Urology, Mayo Clinic, Rochester, Minnesota.
  • Stephen A Boorjian
    Department of Urology, Mayo Clinic, Rochester, Minnesota, MN, USA.
  • Abhinav Khanna
    Glickman Urologic and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA.
  • Brian J Linder
    Division of Urogynecology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. Linder.Brian@mayo.edu.
  • Boyd R Viers
    Department of Urology, Mayo Clinic, Rochester, MN. Electronic address: viers.boyd@mayo.edu.

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