Untangling surgical gesture analysis-are we even speaking the same language? a systematic review.

Journal: Surgical endoscopy
Published Date: Jul 31, 2025

Abstract

BACKGROUND: Surgeons' technical performance directly influences postoperative outcomes after surgery. Therefore, it is essential to develop the best methods for surgical quality. One method is surgical gesture analysis which can be used with AI models. Our objective was to conduct a systematic review to assess the current evidence for the use of surgical gesture use in minimally invasive surgery, including how surgical gestures have been defined and applied in the existing literature.

Authors

  • Rikke Groth Olsen
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
  • Annarita Ghosh Andersen
    Copenhagen Academy for Medical Education and Simulation (CAMES), Centre for HR & Education, the Capital Region of Denmark, Ryesgade 53B, 2100, Copenhagen, Denmark.
  • Andrew J Hung
    Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California. Electronic address: Andrew.Hung@med.usc.edu.
  • Morten Bo Søndergaard Svendsen
    Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Copenhagen, Denmark; Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
  • Julia Abildgaard Dagnæs-Hansen
    Department of Urology, Copenhagen Prostate Cancer Center, Copenhagen University Hospital-Rigshospitalet, Ole Maaløes Vej 24, 2200, Copenhagen, Denmark.
  • Lars Konge
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
  • Andreas Røder
    Urological Research Unit, Department of Urology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
  • Flemming Bjerrum
    Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.

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