Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance.

Journal: JAMA network open
Published Date:

Abstract

IMPORTANCE: When evaluating surgeons in the operating room, experienced physicians must rely on live or recorded video to assess the surgeon's technical performance, an approach prone to subjectivity and error. Owing to the large number of surgical procedures performed daily, it is infeasible to review every procedure; therefore, there is a tremendous loss of invaluable performance data that would otherwise be useful for improving surgical safety.

Authors

  • Shuja Khalid
    Surgical Safety Technologies, Toronto, Ontario, Canada.
  • Mitchell Goldenberg
    Surgical Safety Technologies, Toronto, Ontario, Canada.
  • Teodor Grantcharov
    International Centre for Surgical Safety, Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, Ontario, Canada.
  • Babak Taati
  • Frank Rudzicz
    University of Toronto, Toronto, Canada.