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4/15/2019 7:26:57 AM | Browse: 287 | Download: 117
Publication Name World Journal of Gastroenterology
Manuscript ID 46356
Country of Manuscript Source South Korea
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
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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Specialty Gastroenterology and 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
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
Keywords 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