Publication Name	World Journal of Gastroenterology
Manuscript ID	63688
Country	Greece

Received	2021-01-31 19:28
Peer-Review Started	2021-01-31 19:36
To Make the First Decision
Return for Revision	2021-03-14 05:55
Revised	2021-05-06 00:18
Second Decision	2021-08-31 03:34
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-08-31 09:05
Articles in Press	2021-08-31 09:05
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-09-27 01:20
Publish the Manuscript Online	2021-09-29 11:12

ISSN	1007-9327 (print) and 2219-2840 (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	Gastroenterology & Hepatology
Manuscript Type	Review
Article Title	Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology
Manuscript Source	Invited Manuscript
All Author List	Chrysanthos D Christou and Georgios Tsoulfas
ORCID	Author(s) ORCID Number Chrysanthos D Christou http://orcid.org/0000-0002-5417-8686 Georgios Tsoulfas http://orcid.org/0000-0001-5043-7962
Funding Agency and Grant Number
Corresponding Author	Georgios Tsoulfas, FACS, FICS, MD, Associate Professor, Organ Transplant Unit, Hippokration General Hospital, Aristotle University of Thessaloniki, 66 Tsimiski Street, Thessaloniki 54622, Greece. tsoulfasg@gmail.com
Key Words	Artificial intelligence; Machine learning; Gastroenterology; Hepatology; Artificial neural networks; Support vector machine
Core Tip	The opportunities that arise from the application of artificial intelligence/machine learning-based models in gastroenterology and hepatology include the establishment of targeted screening programs through the identification of patients prone to develop cancer, the development of non-invasive diagnostic tools, the improvement of the diagnostic accuracy, the development of treatment allocation frameworks based on predictions of outcomes for different treatment modalities, the development of models to ensure cost-effective use of resources, the development of triage tools for higher levels of care and decision-making tools for further treatment, based on individualized patient outcome predictions, and finally the development of predictive models of prognosis for patient and family counseling.
Publish Date	2021-09-29 11:12
Citation	Christou CD, Tsoulfas G. Challenges and Opportunities in the application of artificial intelligence in gastroenterology and hepatology. World J Gastroenterol 2021; 27(37): 6191-6223
URL	https://www.wjgnet.com/1007-9327/full/v27/i37/6191.htm
DOI	https://dx.doi.org/10.3748/wjg.v27.i37.6191

Full Article (PDF)	WJG-27-6191.pdf
Full Article (Word)	WJG-27-6191.docx
Manuscript File	63688_Auto_Edited-JLW.docx
Answering Reviewers	63688-Answering reviewers.pdf
Audio Core Tip	63688-Audio Core Tip.m4a
Conflict-of-Interest Disclosure Form	63688-Conflict-of-interest statement.pdf
Copyright License Agreement	63688-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	63688-Language certificate.pdf
Peer-review Report	63688-Peer-review(s).pdf
Scientific Misconduct Check	63688-Scientific misconduct check.pdf
Scientific Editor Work List	63688-Scientific editor work list.pdf