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Articles Published Processes
9/7/2026 2:26:32 AM | Browse: 4 | Download: 55
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Received |
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2026-01-07 03:30 |
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Peer-Review Started |
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2026-01-07 03:31 |
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First Decision by Editorial Office Director |
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2026-02-26 07:35 |
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Return for Revision |
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2026-02-26 07:35 |
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Revised |
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2026-02-26 15:37 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-03-10 02:50 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-10 06:59 |
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Articles in Press |
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2026-03-10 06:59 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-08-27 02:19 |
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Publish the Manuscript Online |
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2026-09-07 02:26 |
| 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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Editorial |
| Article Title |
From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Di Kong, Yan Jiao and Ya-Hui Liu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Ya-Hui Liu, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. yahui@jlu.edu.cn |
| Key Words |
Computer-aided detection; Colonoscopy; Adenoma detection rate; Endoscopist behavior; Human-artificial intelligence interaction; Real-world implementation |
| Core Tip |
Computer-aided detection (CADe) systems have proven efficacy in improving adenoma detection rate (ADR) during colonoscopy, yet their real-world impact remains heterogeneous. Emerging evidence suggests that CADe effectiveness is not determined by mere availability but by endoscopist-level adoption and integration into routine practice. Stratifying endoscopists by CADe usage frequency reveals a dose–response relationship between use intensity and adenoma yield. These findings underscore the need to shift implementation strategies from passive deployment toward active training, adherence, and behavioral optimization to fully realize the clinical value of CADe, highlighting endoscopist-level adoption as a key translational determinant beyond mere technological availability. |
| Publish Date |
2026-09-07 02:26 |
| Citation |
Kong D, Jiao Y, Liu YH. From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy. World J Gastroenterol 2026; 32(38): 118617
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| URL |
https://www.wjgnet.com/1007-9327/full/v32/i38/118617.htm |
| DOI |
https://doi.org/10.3748/wjg.118617 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
