Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	84203
Country	Singapore

Received	2023-03-06 02:57
Peer-Review Started	2023-03-06 03:00
To Make the First Decision
Return for Revision	2023-05-09 08:18
Revised	2023-05-17 08:12
Second Decision	2023-06-12 02:55
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-06-12 09:26
Articles in Press	2023-06-12 09:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2023-07-28 08:35
Publish the Manuscript Online	2023-09-07 01:29

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	Minireviews
Article Title	Role of artificial intelligence in Barrett’s esophagus
Manuscript Source	Invited Manuscript
All Author List	Chin Hock Nicholas Tee, Rajesh Ravi, Tiing Leong Ang and James Weiquan Li
Funding Agency and Grant Number
Corresponding Author	James Weiquan Li, FRCPE, MBBS, MMed, Assistant Professor, Doctor, Doctor, Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, 2 Simei Street 3, Singapore 529889, Singapore. james.li.w.q@singhealth.com.sg
Key Words	Artificial intelligence; Barrett’s esophagus; Dysplasia; Cancer
Core Tip	Barrett’s esophagus is a significant precursor to esophageal adenocarcinoma. Detection of dysplasia or neoplastic changes in Barrett’s esophagus can often be difficult as endoscopic changes can be subtle. Artificial intelligence has the potential to aid endoscopist in detecting such lesions endoscopically and also reduce the inter-observer variability in detecting dysplasia in Barrett’s esophagus histologically.
Publish Date	2023-09-07 01:29
Citation	Tee CHN, Ravi R, Ang TL, Li JW. Role of artificial intelligence in Barrett’s esophagus. Artif Intell Gastroenterol 2023; 4(2): 28-35
URL	https://www.wjgnet.com/2644-3236/full/v4/i2/28.htm
DOI	https://dx.doi.org/10.35712/aig.v4.i2.28

Full Article (PDF)	AIG-4-28-with-cover.pdf
Full Article (Word)	AIG-4-28.docx
Manuscript File	84203_Auto_Edited-LJH-JLW.docx
Answering Reviewers	84203-Answering reviewers.pdf
Audio Core Tip	84203-Audio core tip.wav
Conflict-of-Interest Disclosure Form	84203-Conflict-of-interest statement.pdf
Copyright License Agreement	84203-Copyright license agreement.pdf
Peer-review Report	84203-Peer-review(s).pdf
Scientific Misconduct Check	84203-Bing-Liu JH-2.png
Scientific Misconduct Check	84203-CrossCheck.png
Scientific Editor Work List	84203-Scientific editor work list.pdf
CrossCheck Report	84203-CrossCheck report.pdf