Publication Name	World Journal of Gastroenterology
Manuscript ID	46356
Country	South Korea

Received	2019-02-09 06:53
Peer-Review Started	2019-02-12 01:32
To Make the First Decision	2019-02-26 07:47
Return for Revision	2019-02-26 08:53
Revised	2019-03-04 15:44
Second Decision	2019-03-15 09:36
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2019-03-16 17:50
Articles in Press	2019-03-16 17:50
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2019-04-09 05:10
Publish the Manuscript Online	2019-04-13 06:00

ISSN	1007-9327 (print) and 2219-2840 (online)
Open Access	This 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 Non Commercial (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) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
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Website	http://www.wjgnet.com

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Application of artificial intelligence in gastroenterology
Manuscript Source	Invited Manuscript
All Author List	Young Joo Yang and Chang Seok Bang
ORCID	Author(s) ORCID Number Young Joo Yang http://orcid.org/0000-0001-6325-1104 Chang Seok Bang http://orcid.org/0000-0003-4908-5431
Funding Agency and Grant Number
Corresponding Author	Chang Seok Bang, MD, PhD, Assistant Professor, Doctor, Department of Internal Medicine, Hallym University College of Medicine, Sakju-ro 77, Chuncheon 24253, Gangwon-do, South Korea. csbang@hallym.ac.kr
Key Words	Artificial intelligence; Convolutional neural network; Deep-learning; Computer-assisted; Gastroenterology; Endoscopy
Core Tip	Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. The convolutional neural network exhibited outstanding performance in image analysis. AI has been applied in the field of gastroenterology in terms of diagnosis, prognosis, and image analysis. However, potential inherent pitfalls of selection bias, overfitting, and spectrum bias (class imbalance) have the possibility of overestimating the accuracy and generalizing the result. Therefore, external validation using unused datasets for model development, collected in a way that minimizes the spectrum bias, is mandatory. DL has its own lack of interpretability, and further investigations should be performed on this issue.
Publish Date	2019-04-13 06:00
Citation	Yang YJ, Bang CS. Application of artificial intelligence in gastroenterology. World J Gastroenterol 2019; 25(14): 1666-1683
URL	https://www.wjgnet.com/1007-9327/full/v25/i14/1666.htm
DOI	https://dx.doi.org/10.3748/wjg.v25.i14.1666

Full Article (PDF)	WJG-25-1666.pdf
Full Article (Word)	WJG-25-1666.docx
Manuscript File	46356-Review.docx
Answering Reviewers	46356-Answering reviewers.pdf
Audio Core Tip	46356-Audio core tip.mp3
Conflict-of-Interest Disclosure Form	46356-Conflict-of-interest statement.pdf
Copyright License Agreement	46356-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate	46356-Language certificate.pdf
Peer-review Report	46356-Peer-review(s).pdf
Scientific Misconduct Check	46356-Google-MA RY-1.png
Scientific Misconduct Check	46356-Google-MA RY-2.png
Scientific Misconduct Check	46356-Scientific misconduct check.pdf
Scientific Editor Work List	46356-Scientific editor work list.pdf