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3/13/2026 3:58:50 AM | Browse: 51 | Download: 123
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Received |
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2025-11-11 09:43 |
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Peer-Review Started |
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2025-11-12 00:23 |
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First Decision by Editorial Office Director |
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2025-11-30 01:26 |
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Return for Revision |
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2025-11-30 01:26 |
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Revised |
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2025-12-10 01:15 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-20 02:33 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-20 11:13 |
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Articles in Press |
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2026-01-20 11:13 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-03-03 08:03 |
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Publish the Manuscript Online |
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2026-03-13 03:56 |
| ISSN |
1948-5190 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| 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 |
Meta-Analysis |
| Article Title |
Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Princess Curlej and Jonathan Soldera |
| Funding Agency and Grant Number |
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| Corresponding Author |
Jonathan Soldera, MD, PhD, Gastroenterology and Acute Medicine, University of South Wales in Association with Learna Ltd., 86-88 Adam Street, Cardiff CF37 1DL, United Kingdom. jonathansoldera@gmail.com |
| Key Words |
Artificial intelligence; Adenoma; Colonic polyps; Endoscopy; Gastrointestinal; Diagnosis computer-assisted |
| Core Tip |
Artificial intelligence enables accurate, real-time differentiation between neoplastic and non-neoplastic colorectal polyps, fulfilling the optical biopsy criteria. By supporting “resect-and-discard” strategies for diminutive lesions and providing decision assistance to less experienced endoscopists, artificial intelligence can streamline colonoscopy workflows, mitigate pathology workloads, and enhance colorectal cancer prevention programs. |
| Publish Date |
2026-03-13 03:56 |
| Citation |
Curlej P, Soldera J. Artificial intelligence in predicting colorectal polyp histology: Systematic review and meta-analysis of diagnostic accuracy in real-time procedures. World J Gastrointest Endosc 2026; 18(3): 116381 |
| URL |
https://www.wjgnet.com/1948-5190/full/v18/i3/116381.htm |
| DOI |
https://dx.doi.org/10.4253/wjge.v18.i3.116381 |
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