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World J Gastrointest Endosc. Mar 16, 2024; 16(3): 126-135
Published online Mar 16, 2024. doi: 10.4253/wjge.v16.i3.126
Human-artificial intelligence interaction in gastrointestinal endoscopy
John R Campion, Donal B O'Connor, Conor Lahiff
John R Campion, Conor Lahiff, Department of Gastroenterology, Mater Misericordiae University Hospital, Dublin D07 AX57, Ireland
John R Campion, Conor Lahiff, School of Medicine, University College Dublin, Dublin D04 C7X2, Ireland
Donal B O'Connor, Department of Surgery, Trinity College Dublin, Dublin D02 R590, Ireland
Author contributions: Campion JR designed and drafted the original manuscript and reviewed all subsequent and final drafts; O'Connor DB drafted the manuscript and reviewed the draft and final manuscripts; Lahiff C designed and reviewed the original manuscript; all subsequent drafts, including the final draft.
Conflict-of-interest statement: Authors declare no conflict of interests for this article. O'Connor DB is employed by the HPRA in Ireland, a government agency for medical device regulation in the EU and has no conflicts relevant to this article.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: John R Campion, MB BCh BAO, MSc, MA, MRCPI, Doctor, Research Fellow, Department of Gastroenterology, Mater Misericordiae University Hospital, Eccles St, Dublin D07 AX57, Ireland. johncampion@eril.ie
Received: December 31, 2023
Peer-review started: December 31, 2023
First decision: January 16, 2024
Revised: January 18, 2024
Accepted: February 23, 2024
Article in press: February 23, 2024
Published online: March 16, 2024
Core Tip

Core Tip: As an endoscopist you should familiarise yourself with the capabilities, strengths and weaknesses of any artificial intelligence (AI) technology you intend to use. It is important to be cognisant of the human factors and psychological biases that influence how you as an individual user treat advice from AI platforms. Those using AI technologies in healthcare should be involved in the development of those technologies and should advocate for a human-centred approach to their design and implementation.