Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy.

Journal: Surgical endoscopy
PMID: 40164839

Abstract

BACKGROUND: Robotic-assisted minimally invasive esophagectomy (RAMIE) is a complex surgical procedure for treating esophageal cancer. Artificial intelligence (AI) is an uprising technology with increasing applications in the surgical field. This scoping review aimed to assess the current AI applications in RAMIE, with a focus on intraoperative video analysis.

Authors

  • Amila Cizmic
    Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
  • Anuja T Mitra
    Department of Surgery & Cancer, Imperial College, London, UK.
  • Anas A Preukschas
    Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
  • Marius Kemper
    Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Nathaniel T Melling
    Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
  • Oliver Mann
    Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
  • Sheraz Markar
    PanSurg Collaborative, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
  • Thilo Hackert
    Klinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Deutschland. Thilo.Hackert@med.uni-heidelberg.de.
  • Felix Nickel
    Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. felix.nickel@med.uni-heidelberg.de.

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