| 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 |
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 |
| ORCID |
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| Funding Agency and Grant Number |
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| 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 |
