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Articles Published Processes
6/25/2021 9:46:23 AM | Browse: 496 | Download: 1062
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Received |
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2021-01-25 13:27 |
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Peer-Review Started |
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2021-01-25 13:33 |
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To Make the First Decision |
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Return for Revision |
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2021-03-29 04:49 |
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Revised |
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2021-04-09 18:35 |
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Second Decision |
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2021-05-21 07:07 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-05-21 12:12 |
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Articles in Press |
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2021-05-21 12:12 |
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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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2021-06-14 16:58 |
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Publish the Manuscript Online |
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2021-06-25 09:46 |
| 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. |
| 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 |
Usefulness of artificial intelligence in gastric neoplasms
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ji Hyun Kim, Seung-Joo Nam and Sung Chul Park |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Sung Chul Park, MD, PhD, Associate Professor, Doctor, Doctor, Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kangwon National University School of Medicine, Baengnyeong-ro 156, Gangwon-do, Chuncheon 24289, Kangwon Do, South Korea. schlp@hanmail.net |
| Key Words |
Artificial intelligence; Convolutional neural network; Gastric neoplasm; Esophagogastroduodenoscopy; Diagnosis; Invasion depth |
| Core Tip |
Recently, image analysis based on artificial intelligence (AI) has been applied in the field of diagnostic endoscopy in gastroenterology, and active research is also being conducted on gastric neoplasms. Several studies reported that AI-based early gastric cancer diagnosis and the prediction of invasion depth showed excellent performance and that the differential diagnosis from non-neoplastic lesions including benign gastric ulcers was possible. Therefore, if AI is used in clinical practice, it can be expected to help diagnose gastric neoplasms and determine treatment methods. |
| Publish Date |
2021-06-25 09:46 |
| Citation |
Kim JH, Nam SJ, Park SC. Usefulness of artificial intelligence in gastric neoplasms. World J Gastroenterol 2021; 27(24): 3543-3555 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i24/3543.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i24.3543 |
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