Harnessing artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations.

Journal: Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
PMID: 38644078

Abstract

BACKGROUND: The formulation of clinical recommendations pertaining to bariatric surgery is essential in guiding healthcare professionals. However, the extensive and continuously evolving body of literature in bariatric surgery presents considerable challenge for staying abreast of latest developments and efficient information acquisition. Artificial intelligence (AI) has the potential to streamline access to the salient points of clinical recommendations in bariatric surgery.

Authors

  • Yung Lee
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada; Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Thomas Shin
    Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
  • Léa Tessier
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Arshia Javidan
    Division of Vascular Surgery, University of Toronto, Toronto, Ontario, Canada.
  • James Jung
    Division of General Surgery, Duke University, Durham, North Carolina.
  • Dennis Hong
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Andrew T Strong
    Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio.
  • Tyler McKechnie
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Sarah Malone
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • David Jin
    Division of General Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Matthew Kroh
    Digestive Disease Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
  • Jerry T Dang
    Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio. Electronic address: dangj3@ccf.org.

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