Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key events, functioning as a building block for efficient video review, surgical education as well as skill assessment. Previous research has focused on short and linear surgical procedures and has not explored if temporal context influences experts' ability to better classify surgical phases. This research addresses these gaps, focusing on robot-assisted partial nephrectomy (RAPN) as a highly nonlinear procedure.

Authors

  • Marco Mezzina
    Orsi Academy, Ghent, Belgium. marco.mezzina@orsi.be.
  • Pieter De Backer
    ORSI Academy Melle Belgium.
  • Tom Vercauteren
    Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, UK.
  • Matthew Blaschko
    Faculty of Engineering Science, KU Leuven, Leuven, Belgium.
  • Alexandre Mottrie
    ORSI Academy Melle Belgium.
  • Tinne Tuytelaars