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Articles Published Processes
6/7/2023 6:39:13 AM | Browse: 116 | Download: 226
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Received |
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2023-03-04 02:07 |
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Peer-Review Started |
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2023-03-04 02:10 |
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To Make the First Decision |
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Return for Revision |
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2023-03-28 02:56 |
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Revised |
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2023-04-03 17:01 |
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Second Decision |
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2023-05-04 03:13 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-05-04 21:57 |
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Articles in Press |
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2023-05-04 21:57 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-05-02 19:08 |
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Typeset the Manuscript |
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2023-05-30 06:38 |
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Publish the Manuscript Online |
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2023-06-07 06:39 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2023. 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 |
Oncology |
| Manuscript Type |
Scientometrics |
| Article Title |
Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ren-Chun Du, Yao-Bin Ouyang and Yi Hu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82000531 |
| Project for Academic and Technical Leaders of Major Disciplines in Jiangxi Province |
20212BCJL23065 |
| Key Research and Development Program of Jiangxi Province |
20212BBG73018 |
| Youth Project of the Jiangxi Natural Science Foundation |
20202BABL216006 |
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| Corresponding Author |
Yi Hu, MD, Doctor, Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, No. 17 Yong Waizheng Street, Donghu District, Nanchang 330006, Jiangxi Province, China. ndyfy06202@ncu.edu.cn |
| Key Words |
Bibliometric analysis; Artificial intelligence; Endoscopy; Publications; Research trends |
| Core Tip |
Gastrointestinal tumors diagnosed at an early stage had a better prognosis than those diagnosed at a late stage, and performing endoscopy is the most effective approach to detect gastrointestinal tumors. In recent years, artificial intelligence (AI) has been widely used in gastrointestinal endoscopy examinations and it represents a fundamental breakthrough in the field of diagnostic endoscopy by assisting endoscopists with the detection of gastrointestinal tumors. This study aimed to provide a comprehensive analysis of AI applied in diagnostic endoscopy. A basic literature analysis was performed, as well as a subgroup analysis of AI-assisted digestive endoscopy in diagnosing various diseases. |
| Publish Date |
2023-06-07 06:39 |
| Citation |
Du RC, Ouyang YB, Hu Y. Research trends on artificial intelligence and endoscopy in digestive diseases: A bibliometric analysis from 1990 to 2022. World J Gastroenterol 2023; 29(22): 3561-3573 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i22/3561.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i22.3561 |
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