Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	80702
Country	United States

Received	2022-10-09 23:06
Peer-Review Started	2022-10-09 23:09
To Make the First Decision
Return for Revision	2022-10-31 13:31
Revised	2022-11-21 16:40
Second Decision	2022-12-21 03:33
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-12-21 09:05
Articles in Press	2022-12-21 09:05
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-12-22 02:20
Publish the Manuscript Online	2022-12-28 07:50

ISSN	2644-3236 (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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Artificial intelligence in gastroenterology: A narrative review
Manuscript Source	Invited Manuscript
All Author List	Jonathan S Galati, Robert J Duve, Matthew O'Mara and Seth A Gross
ORCID	Author(s) ORCID Number Jonathan S Galati http://orcid.org/0000-0001-8075-3376 Seth A Gross http://orcid.org/0000-0001-8942-865X
Funding Agency and Grant Number
Corresponding Author	Jonathan S Galati, MD, Doctor, Department of Medicine, NYU Langone Health, 550 First Avenue, New York, New York 10016, United States. jonathan.galati@nyulangone.org
Key Words	Artificial intelligence; Colonoscopy; Computer-aided detection; Deep learning; Endoscopy; Machine learning
Core Tip	Artificial intelligence (AI) is a complex concept that has the capacity to revolutionize medicine. Within gastroenterology, recent research efforts have focused on using AI in esophagogastroduodenoscopy, wireless capsule endoscopy (WCE) and colonoscopy to assist in diagnosis, disease monitoring, lesion detection and therapeutic intervention. This narrative review provides a comprehensive overview of the research being performed within gastroenterology on AI in esophagogastroduodenoscopy, WCE and colonoscopy.
Publish Date	2022-12-28 07:50
Citation	Galati JS, Duve RJ, O'Mara M, Gross SA. Artificial intelligence in gastroenterology: A narrative review. Artif Intell Gastroenterol 2022; 3(5): 117-141
URL	https://www.wjgnet.com/2644-3236/full/v3/i5/117.htm
DOI	https://dx.doi.org/10.35712/aig.v3.i5.117

Full Article (PDF)	AIG-3-117.pdf
Full Article (Word)	AIG-3-117.docx
Manuscript File	80702_Auto_Edited-LJH-JLW.docx
Answering Reviewers	80702-Answering reviewers.pdf
Audio Core Tip	80702-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	80702-Conflict-of-interest statement.pdf
Copyright License Agreement	80702-Copyright license agreement.pdf
Supplementary Material	80702-Supplementary material.pdf
Peer-review Report	80702-Peer-review(s).pdf
Scientific Misconduct Check	80702-Bing-Liu JH-2.jpg
Scientific Misconduct Check	80702-CrossCheck.jpg
Scientific Editor Work List	80702-Scientific editor work list.pdf