AI-Based Video Segmentation: Procedural Steps or Basic Maneuvers?

Journal: The Journal of surgical research
PMID: 36436286

Abstract

INTRODUCTION: Video-based review of surgical procedures has proven to be useful in training by enabling efficiency in the qualitative assessment of surgical skill and intraoperative decision-making. Current video segmentation protocols focus largely on procedural steps. Although some operations are more complex than others, many of the steps in any given procedure involve an intricate choreography of basic maneuvers such as suturing, knot tying, and cutting. The use of these maneuvers at certain procedural steps can convey information that aids in the assessment of the complexity of the procedure, surgical preference, and skill. Our study aims to develop and evaluate an algorithm to identify these maneuvers.

Authors

  • Calvin Perumalla
    Department of Surgery Stanford University, Stanford, California.
  • LaDonna Kearse
    Department of Surgery, Stanford University School of Medicine, Stanford, California.
  • Michael Peven
    John Hopkins University, Department of Computer Science, Baltimore, Maryland.
  • Shlomi Laufer
    Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.
  • Cassidi Goll
    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.
  • Carla Pugh
    Department of Surgery, Stanford University School of Medicine, Stanford, California. Electronic address: cpugh@stanford.edu.

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