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Articles Published Processes
6/6/2025 3:09:40 AM | Browse: 2 | Download: 14
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Received |
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2025-02-06 02:53 |
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Peer-Review Started |
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2025-02-06 02:53 |
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To Make the First Decision |
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Return for Revision |
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2025-03-11 00:18 |
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Revised |
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2025-03-21 05:08 |
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Second Decision |
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2025-05-19 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-19 07:08 |
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Articles in Press |
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2025-05-19 07:08 |
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Publication Fee Transferred |
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2025-03-25 06:34 |
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Edit the Manuscript by Language Editor |
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2025-05-20 02:48 |
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Typeset the Manuscript |
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2025-05-30 09:13 |
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Publish the Manuscript Online |
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2025-06-06 03:09 |
| 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) 2025. 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 |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Meta-Analysis |
| Article Title |
Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis.
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Sheng-Yu Wang, Jia-Cheng Gao and Shuo-Dong Wu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Shuo-Dong Wu, Chief, MD, Professor, Department of General Surgery, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110004, Liaoning Province, China. 13909824526@163.com |
| Key Words |
Artificial intelligence; Computer-aided detection; Colonoscopy; Neoplasms; Prevention and control |
| Core Tip |
Artificial intelligence is being increasingly used in colonoscopy, with more and more studies reporting its potential benefits. However, most studies have focused on adenoma detection rate (ADR) as the primary outcome and assessed only short-term effects. Recently, adenoma miss rate (AMR) has gained more attention, and based on this, we designed this meta-analysis to evaluate the effect of computer-aided detection on AMR, compared it with ADR, and assessed its long-term impact. |
| Publish Date |
2025-06-06 03:09 |
| Citation |
<p>Wang SY, Gao JC, Wu SD. Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis.. <i>World J Gastroenterol</i> 2025; 31(21): 105753</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i21/105753.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i21.105753 |
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