Systematic review on the use of artificial intelligence to identify anatomical structures during laparoscopic cholecystectomy: a tool towards the future.

Journal: Langenbeck's archives of surgery
PMID: 40100424

Abstract

PURPOSE: Bile duct injury (BDI) during laparoscopic cholecystectomy (LC) is a dreaded complication. Artificial intelligence (AI) has recently been introduced in surgery. This systematic review aims to investigate whether AI can guide surgeons in identifying anatomical structures to facilitate safer dissection during LC.

Authors

  • Diletta Corallino
    Hepatobiliary Surgery Division, San Raffaele Hospital, Milano, Italy. (all authors).
  • Andrea Balla
    Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain.
  • Diego Coletta
    IRCCS Regina Elena National Cancer Institute, Rome, Italy.
  • Daniela Pacella
    Department of Public Health, University of Naples Federico II, Naples, Italy.
  • Mauro Podda
    Department of Surgical Science, University of Cagliari, Cagliari, Italy. Electronic address: mauropodda@ymail.com.
  • Annamaria Pronio
    Department of General Surgery and Surgical Specialties, Sapienza University of Rome, Viale del Policlinico 155, 00161, Rome, Italy.
  • Monica Ortenzi
    Department of Research and Development, Theator Inc., Palo Alto, CA.
  • Francesca Ratti
    Division of Hepatobiliary Surgery, IRCCS San Raffaele Hospital, Milano, Italy. Electronic address: ratti.francesca@hsr.it.
  • Salvador Morales-Conde
  • Pierpaolo Sileri
    Coloproctology and Inflammatory Bowel Disease Surgery Unit, IRCCS San Raffaele Scientific Institute, Faculty of Medicine and Surgery, Vita-Salute University, Via Olgettina 60, 20132, Milan, Italy.
  • Luca Aldrighetti
    Division of Hepatobiliary Surgery, IRCCS San Raffaele Hospital, Milano, Italy.

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