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Articles Published Processes
4/13/2019 6:00:06 AM | Browse: 1168 | Download: 1702
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Received |
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2019-02-09 06:53 |
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Peer-Review Started |
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2019-02-12 01:32 |
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To Make the First Decision |
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2019-02-26 07:47 |
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Return for Revision |
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2019-02-26 08:53 |
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Revised |
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2019-03-04 15:44 |
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Second Decision |
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2019-03-15 09:36 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2019-03-16 17:50 |
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Articles in Press |
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2019-03-16 17:50 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2019-04-09 05:10 |
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Publish the Manuscript Online |
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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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Application of artificial intelligence in gastroenterology
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Young Joo Yang and Chang Seok Bang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Chang Seok Bang, MD, PhD, Assistant Professor, Doctor, 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 |
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