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

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
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.
Citation	Campion JR, O'Connor DB, Lahiff C. Human-artificial intelligence interaction in gastrointestinal endoscopy. World J Gastrointest Endosc 2024; 16(3): 126-135

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

ISSN	1948-5190 (online)
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