A

Endoscopist sentiments on artificial intelligence in endoscopy: A Large-scale intercontinental opinion survey

Endoscopy, vol. 56, pp. S353

Abstract

Aims In recent years, there has been rapid development of AI devices in endoscopy. Little is however known about endoscopist perception regarding AI in clinical practice. The aim of this study was to undertake an international endoscopist opinion survey on behalf of the World Endoscopy Organization AI committee about the use of artificial intelligence. Methods A prospective questionnaire study was conducted as part of the World Endoscopy Organization AI committee activities. The committee developed 23 statements on the use of AI in endoscopy which were distributed to endoscopists using an online survey platform. Endoscopists responded to each of the statements by using a 5-point Likert-scale, ranging from strongly disagree (1) to strongly agree (5). Results In total, 465 endoscopists completed the survey (from 83 countries). The endoscopists background was general (36%), specialist interventional (55%) and trainee (9%). 39% had experience of using AI in clinical practice. The majority believed that AI would improve endoscopy quality (90%), efficiency (87%) and patient outcomes (86%). Most thought that CADe would help detect clinically relevant polyps (86%) and upper GI neoplasia (87%). 68% felt more comfortable leaving in a diminutive rectosigmoid polyp with CADx assistance. Financial re-imbursement was considered important (72%) and most were concerned about medical liability (47%), with a mixed view on accountability (endoscopist 57%, manufacturer 22% and hospital 8%). Potential de-skilling was a concern (37%). A small majority felt that AI would lead to unnecessary resections and biopsies in the upper and lower GI tract, and also lengthen procedure times. Overall, the majority would use upper GI CADe (90%), lower GI CADe (83%) and CADx (87%) when available. Conclusions In this international endoscopist survey, participants strongly believed that AI would improve endoscopy quality and outcomes. Financial re-imbursement, concerns about medical liability and potential de-skilling are important issues. A small majority felt that AI would lead to unnecessary resections and increase procedure times. Overall, the vast majority would use AI when available. Publication History Article published online: 15 April 2024 © 2024. European Society of Gastrointestinal Endoscopy. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

Authors 14

  1. Amsterdam University Medical Centers · Amsterdam UMC Location Vrije Universiteit Amsterdam

    Affiliation as printed

    Amsterdam UMC, locatie VUmc, Amsterdam, Netherlands

  2. University College London

    Affiliation as printed

    Division of Surgery and Interventional Sciences, University College London (UCL), London, United Kingdom

  3. Leiden University Medical Center

    Affiliation as printed

    Leiden University Medical Center (LUMC), Leiden, Netherlands

  4. Amsterdam UMC Location Vrije Universiteit Amsterdam

    Affiliation as printed

    VU University Medical Center, Amsterdam, Netherlands

  5. Mayo Clinic

    Affiliation as printed

    Mayo Clinic, Rochester, United States of America

  6. Renmin Hospital of Wuhan University

    Affiliation as printed

    Renmin Hospital of Wuhan University, Wuhan, China

  7. Tenwek Hospital

    Affiliation as printed

    Tenwek Hospital, Bomet, Kenya

  8. Swedish Medical Center

    Affiliation as printed

    Swedish Medical Center, Seattle, United States of America

  9. Lahore General Hospital

    Affiliation as printed

    General Hospital Lahore, Lahore, Pakistan

  10. University Medical Center of the Johannes Gutenberg University Mainz

    Affiliation as printed

    University Medical Center Mainz, Interventional Endoscopy Center, Mainz, Germany

  11. West Virginia University

    Affiliation as printed

    West Virginia University, Morgantown, United States of America

  12. Vancouver General Hospital

    Affiliation as printed

    Vancouver General Hospital, Vancouver, Canada

  13. Amsterdam UMC Location Vrije Universiteit Amsterdam

    Affiliation as printed

    VU University Medical Center, Amsterdam, Netherlands

  14. Jichi Medical University

    Affiliation as printed

    Jichi Medical University, Shimotsuke, Japan

Cited by 0 stored of 0

No patents citing this paper on Lens.org (checked 2026-10-11).

References 0