Publication Name	World Journal of Gastrointestinal Endoscopy
Manuscript ID	91528
Country	Ireland

Received	2023-12-31 13:05
Peer-Review Started	2023-12-31 13:05
To Make the First Decision
Return for Revision	2024-01-16 08:55
Revised	2024-01-18 17:38
Second Decision	2024-02-23 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-02-23 05:50
Articles in Press	2024-02-23 05:50
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-03-06 00:30
Publish the Manuscript Online	2024-03-14 08:36

ISSN	1948-5190 (online)
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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Human-artificial intelligence interaction in gastrointestinal endoscopy
Manuscript Source	Invited Manuscript
All Author List	John R Campion, Donal B O'Connor and Conor Lahiff
ORCID	Author(s) ORCID Number John R Campion http://orcid.org/0000-0002-8722-6293
Funding Agency and Grant Number
Corresponding Author	John R Campion, MA, MBChB, MSc, Doctor, Doctor, Research Fellow, Department of Gastroenterology, Mater Misericordiae University Hospital, Eccles St,, Dublin 7, D07 AX57, Ireland. johncampion@eril.ie
Key Words	Artificial intelligence; Machine learning; Human factors; Computer-aided detection; Colonoscopy; Adenoma detection rate
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.
Publish Date	2024-03-14 08:36
Citation	Campion JR, O'Connor DB, Lahiff C. Human-artificial intelligence interaction in gastrointestinal endoscopy. World J Gastrointest Endosc 2024; 16(3): 126-135
URL	https://www.wjgnet.com/1948-5190/full/v16/i3/126.htm
DOI	https://dx.doi.org/10.4253/wjge.v16.i3.126

Full Article (PDF)	WJGE-16-126-with-cover.pdf
Full Article (Word)	WJGE-16-126.docx
Manuscript File	91528_Auto_Edited-YJP.docx
Answering Reviewers	91528-Answering reviewers.pdf
Audio Core Tip	91528-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	91528-Conflict-of-interest statement.pdf
Copyright License Agreement	91528-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	91528-Language certificate.pdf
Peer-review Report	91528-Peer-review(s).pdf
Scientific Misconduct Check	91528-Bing-Liu H-2.png
Scientific Editor Work List	91528-Scientific editor work list.pdf
CrossCheck Report	91528-CrossCheck report.pdf