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6/25/2021 9:46:23 AM | Browse: 365 | Download: 692
Publication Name World Journal of Gastroenterology
Manuscript ID 63140
Country South Korea
Received
2021-01-25 13:27
Peer-Review Started
2021-01-25 13:33
To Make the First Decision
Return for Revision
2021-03-29 04:49
Revised
2021-04-09 18:35
Second Decision
2021-05-21 07:07
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-05-21 12:12
Articles in Press
2021-05-21 12:12
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-06-14 16:58
Publish the Manuscript Online
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
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
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Usefulness of artificial intelligence in gastric neoplasms
Manuscript Source Invited Manuscript
All Author List Ji Hyun Kim, Seung-Joo Nam and Sung Chul Park
ORCID
Author(s) ORCID Number
Ji Hyun Kim http://orcid.org/0000-0092-9311-4001
Seung-Joo Nam http://orcid.org/0000-0002-0349-0901
Sung Chul Park http://orcid.org/0000-0003-3215-6838
Funding Agency and Grant Number
Corresponding Author Sung Chul Park, MD, PhD, Associate Professor, 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
Full Article (PDF) WJG-27-3543.pdf
Full Article (Word) WJG-27-3543.docx
Manuscript File 63140_Auto_Edited-JPY.docx
Answering Reviewers 63140-Answering reviewers.pdf
Audio Core Tip 63140-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 63140-Conflict-of-interest statement.pdf
Copyright License Agreement 63140-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 63140-Language certificate.pdf
Peer-review Report 63140-Peer-review(s).pdf
Scientific Misconduct Check 63140-Bing-Liu M-1.png
Scientific Misconduct Check 63140-Bing-Fan JR-2.png
Scientific Misconduct Check 63140-Scientific misconduct check.pdf
Scientific Editor Work List 63140-Scientific editor work list.pdf