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Articles Published Processes
7/27/2020 9:30:51 AM | Browse: 675 | Download: 1121
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Received |
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2020-06-12 08:33 |
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Peer-Review Started |
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2020-06-12 08:34 |
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To Make the First Decision |
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Return for Revision |
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2020-06-18 02:38 |
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Revised |
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2020-07-13 02:48 |
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Second Decision |
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2020-07-15 13:22 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-07-16 02:04 |
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Articles in Press |
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2020-07-16 02:04 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-07-17 17:11 |
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Typeset the Manuscript |
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2020-07-27 01:04 |
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Publish the Manuscript Online |
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2020-07-27 09:30 |
| ISSN |
2644-3236 (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) 2020. 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 the diagnosis and prediction of gastric cancer
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yin-Yin Qie, Xiao-Fei Xue, Xiao-Gang Wang and Sheng-Chun Dang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Sheng-Chun Dang, MD, Chief Doctor, Professor, Surgeon, Department of General Surgery, the Affiliated Hospital of Jiangsu University, No. 438, Jiefang Road, Zhenjiang 212001, Jiangsu Province, China. dscgu@163.com |
| Key Words |
Artificial intelligence; Gastric cancer; Early diagnosis; Survival prediction; ; |
| Core Tip |
Much research has been focused on improving the sensitivity and specificity of diagnostic tools for gastric cancer, in order to more accurately predict the survival times of gastric cancer patients. Artificial intelligence (AI) technology has been applied to various fields of medicine as a branch of computer science. This article discusses the application and research status of AI in gastric cancer diagnosis and survival prediction. |
| Publish Date |
2020-07-27 09:30 |
| Citation |
Qie YY, Xue XF, Wang XG, Dang SC. Application of artificial intelligence in the diagnosis and prediction of gastric cancer. Artif Intell Gastroenterol 2020; 1(1): 12-18 |
| URL |
https://www.wjgnet.com/2644-3236/full/v1/i1/12.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v1.i1.12 |
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