Technical skill assessment in minimally invasive surgery using artificial intelligence: a systematic review.

Journal: Surgical endoscopy
PMID: 37584774

Abstract

BACKGROUND: Technical skill assessment in surgery relies on expert opinion. Therefore, it is time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial intelligence (AI) has the potential for automated technical skill assessment. The aim of this systematic review was to analyze the performance, external validity, and generalizability of AI models for technical skill assessment in minimally invasive surgery.

Authors

  • Romina Pedrett
    Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Pietro Mascagni
    IHU Strasbourg, Strasbourg, France.
  • Guido Beldi
    Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Nicolas Padoy
    IHU Strasbourg, Strasbourg, France.
  • Joël L Lavanchy
    IHU Strasbourg, 1 Place de l'Hôpital, 67091, Strasbourg Cedex, France. joel.lavanchy@ihu-strasbourg.eu.

Keywords

External Resources

Popular Topics
Recent Journals