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Articles Published Processes
10/21/2025 9:08:32 AM | Browse: 220 | Download: 289
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Received |
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2025-06-17 11:40 |
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Peer-Review Started |
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2025-06-17 11:40 |
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First Decision by Editorial Office Director |
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2025-07-19 02:11 |
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Return for Revision |
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2025-07-19 02:11 |
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Revised |
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2025-07-23 20:43 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-09-18 02:42 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-09-18 03:42 |
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Articles in Press |
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2025-09-18 03:42 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-09-24 05:41 |
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Publish the Manuscript Online |
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2025-10-21 09:08 |
| 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) 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Kalpana Panda, Girish K Pati and Devi P Dash |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Kalpana Panda, Associate Professor, Division of Pediatric Gastroenterology and Hepatology, Institute of Medical Sciences and SUM Hospital, Kalinga Nagar, Bhubaneshwar 751003, Odisha, India. drkalpanapanda@gmail.com |
| Key Words |
Artificial intelligence; Colonoscopy; Adenoma miss rate; Adenoma detection rate; Colorectal cancer |
| Core Tip |
Artificial intelligence, particularly computer-aided detection, is increasingly being integrated into colonoscopy to improve neoplasia detection and reduce human error. While most prior meta-analyses have focused on adenoma detection rate, this systematic review and meta-analysis emphasize adenoma miss rate as a more sensitive and clinically relevant outcome. By analyzing five randomized-controlled trials involving 1624 patients, the study demonstrates that computer-aided detection-assisted colonoscopy significantly reduces adenoma miss rate, particularly for small-sized adenomas and sessile serrated lesions. These findings support broader adoption of artificial intelligence in colonoscopy, though real-world validation and long-term outcome studies are still needed to confirm its sustained clinical impact. |
| Publish Date |
2025-10-21 09:08 |
| Citation |
Panda K, Pati GK, Dash DP. Colonoscopy in the artificial intelligence era: Spotlight on adenoma miss rate. World J Gastroenterol 2025; 31(39): 110886 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i39/110886.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i39.110886 |
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