Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	67486
Country	United States

Received	2021-04-25 19:13
Peer-Review Started	2021-04-25 19:16
First Decision by Editorial Office Director	2021-05-07 20:17
Return for Revision	2021-05-07 20:17
Revised	2021-05-18 13:42
Publication Fee Transferred
Second Decision by Editor	2021-06-28 12:28
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2021-06-28 12:52
Articles in Press	2021-06-28 12:52
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-07-02 07:58
Publish the Manuscript Online	2021-07-05 06:25

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/
Copyright	© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Medicine, General & Internal
Manuscript Type	Minireviews
Article Title	Implications of artificial intelligence in inflammatory bowel disease: Diagnosis, prognosis and treatment follow up
Manuscript Source	Invited Manuscript
All Author List	Ashraf Almomani, Asif Hitawala, Mohammad Abureesh, Thabet Qapaja, Dana Alshaikh, Mohammad Zmaili, Mohannad Abou Saleh and Motasem Alkhayyat
Funding Agency and Grant Number
Corresponding Author	Motasem Alkhayyat, MD, Doctor, Doctor, Department of Internal Medicine, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195, United States. alkhaym@ccf.org
Key Words	Artificial intelligence; Machine learning; Inflammatory bowel disease
Core Tip	There has been a substantial progress made in artificial intelligence in gastroenterology including inflammatory bowel disease. Machine learning would play a major role in predicting disease flare up, response to treatment and overall patient' prognosis.
Publish Date	2021-07-05 06:25
Citation	Almomani A, Hitawala A, Abureesh M, Qapaja T, Alshaikh D, Zmaili M, Saleh MA, Alkhayyat M. Implications of artificial intelligence in inflammatory bowel disease: Diagnosis, prognosis and treatment follow up. Artif Intell Gastroenterol 2021; 2(3): 85-93
URL	https://www.wjgnet.com/2644-3236/full/v2/i3/85.htm
DOI	https://dx.doi.org/10.35712/aig.v2.i3.85

Full Article (PDF)	AIG-2-85.pdf
Full Article (Word)	AIG-2-85.docx
Manuscript File	67486_Auto_Edited-ZMG.docx
Answering Reviewers	67486-Answering reviewers.pdf
Audio Core Tip	67486-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	67486-Conflict-of-interest statement.pdf
Copyright License Agreement	67486-Copyright license agreement.pdf
Peer-review Report	67486-Peer-review(s).pdf
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Scientific Misconduct Check	67486-Bing-Ma YJ-1.jpg
Scientific Misconduct Check	67486-Scientific misconduct check.pdf
Scientific Editor Work List	67486-Scientific editor work list.pdf
CrossCheck Report	67486-CrossCheck report.pdf
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