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6/8/2021 10:53:39 AM | Browse: 16 | Download: 16
Publication Name World Journal of Gastroenterology
Manuscript ID 63809
Country/Territory Taiwan
2021-02-03 06:32
Peer-Review Started
2021-02-03 06:43
To Make the First Decision
Return for Revision
2021-02-27 04:01
2021-03-10 06:50
Second Decision
2021-04-22 12:55
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-04-22 13:51
Articles in Press
2021-04-22 13:51
Publication Fee Transferred
Edit the Manuscript by Language Editor
2021-04-27 01:38
Typeset the Manuscript
2021-06-02 03:23
Publish the Manuscript Online
2021-06-08 10:51
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 and Hepatology
Manuscript Type Review
Article Title Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer
Manuscript Source Invited Manuscript
All Author List Yu-Jer Hsiao, Yuan-Chih Wen, Wei-Yi Lai, Yi-Ying Lin, Yi-Ping Yang, Yueh Chien, Aliaksandr A Yarmishyn, De-Kuang Hwang, Tai-Chi Lin, Yun-Chia Chang, Ting-Yi Lin, Kao-Jung Chang, Shih-Hwa Chiou and Ying-Chun Jheng
Funding Agency and Grant Number
Corresponding Author Ying-Chun Jheng, PhD, Research Fellow, Department of Medical Research, Taipei Veterans General Hospital, No. 201, Sec. 2, Shipai Road, Beitou District, Taipei 112201, Taiwan. cycom1220@gmail.com
Key Words Artificial intelligence; Diagnostic; Therapeutic; Endoscopy; Gastric cancer; Gastritis
Core Tip Artificial intelligence (AI)-assisted endoscopy can assist physicians in the screening and diagnosis of gastric cancer (GC). Most of the systems developed so far, applied in both images and videos and using both white light imaging and narrow-band imaging endoscopies, have achieved accuracies and sensitivities of at least 80%. However, the efficacy of AI applications in GC depends on its intended role in clinical practice, and there have not been any attempts of clinical trials yet. This review summarizes the existing AI applications in GC and pinpoints future research directions for their clinical practice implementation.
Publish Date 2021-06-08 10:51
Citation Hsiao YJ, Wen YC, Lai WY, Lin YY, Yang YP, Chien Y, Yarmishyn AA, Hwang DK, Lin TC, Chang YC, Lin TY, Chang KJ, Chiou SH, Jheng YC. Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer. World J Gastroenterol 2021; 27(22): 2979-2993
URL https://www.wjgnet.com/1007-9327/full/v27/i22/2979.htm
DOI https://dx.doi.org/10.3748/wjg.v27.i22.2979
Full Article (PDF) WJG-27-2979.pdf
Full Article (Word) WJG-27-2979.docx
Manuscript File 63809-Review-Filipodia.docx
Answering Reviewers 63809-Answering reviewers.pdf
Audio Core Tip 63809-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 63809-Conflict-of-interest statement.pdf
Copyright License Agreement 63809-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 63809-Language certificate.pdf
Peer-review Report 63809-Peer-review(s).pdf
Scientific Misconduct Check 63809-Scientific misconduct check.pdf
Scientific Editor Work List 63809-Scientific editor work list.pdf