Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The "Marginal Gains" pilot study.

Journal: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Published Date:

Abstract

INTRODUCTION: The study aims to propose a standardised workflow with critical views for surgical quality assessment (SQA) in laparoscopic right hemicolectomy (LRH), to disseminate it through a "Marginal Gains" course, and to evaluate its impact through artificial intelligence (AI) enhanced video-based assessment (VBA).

Authors

  • Salvador Morales-Conde
  • Andrea Scammon Duran
    Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain. Electronic address: a.scammon14@gmail.com.
  • Andrea Balla
    Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain.
  • Javier Valdes-Hernandez
    Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain.
  • Juan Carlos Gómez-Rosado
    Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain.
  • Pietro Mascagni
    IHU Strasbourg, Strasbourg, France.