Can Deep Learning Algorithms Help Identify Surgical Workflow and Techniques?

Journal: The Journal of surgical research
Published Date: Aug 13, 2021

Abstract

BACKGROUND: Surgical videos are now being used for performance review and educational purposes; however, broad use is still limited due to time constraints. To make video review more efficient, we implemented Artificial Intelligence (AI) algorithms to detect surgical workflow and technical approaches.

Authors

  • Hossein Mohamadipanah
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • LaDonna Kearse
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • Anna Witt
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • Brett Wise
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • Su Yang
    Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Cassidi Goll
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • Carla Pugh
    Department of Surgery, Stanford University School of Medicine, Stanford, California. Electronic address: cpugh@stanford.edu.

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