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Articles Published Processes
8/6/2026 7:34:31 AM | Browse: 0 | Download: 0
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Received |
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2026-03-09 06:01 |
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Peer-Review Started |
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2026-03-09 06:02 |
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First Decision by Editorial Office Director |
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2026-03-27 10:15 |
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Return for Revision |
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2026-03-27 10:15 |
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Revised |
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2026-03-29 17:45 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-05-20 02:38 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-05-20 04:02 |
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Articles in Press |
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2026-05-20 04:02 |
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Edit the Manuscript by Language Editor |
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2026-05-24 05:29 |
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Typeset the Manuscript |
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2026-07-29 07:09 |
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Publish the Manuscript Online |
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2026-08-06 07:34 |
| ISSN |
2644-3236 (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 |
©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 |
Minireviews |
| Article Title |
Advances in artificial intelligence-based colonoscopic tools and modalities: Transforming colorectal cancer detection and management
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Philippe Attieh, Antonio Al Hazzouri, Rim Moubayed, Tya Youssef, Karam Karam and Said G Farhat |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Said G Farhat, Associate Professor, Department of Internal Medicine, Division of Gastroenterology, Saint Georges Hospital University Medical Center, Rmeil Street, Ashrafieh, Beirut 3187, Beyrouth, Lebanon. saidfarhat@hotmail.com |
| Key Words |
Artificial intelligence; Colonoscopy; Adenoma detection rate; Computer-aided detection; computer-aided diagnosis; Colorectal polyps |
| Core Tip |
Artificial intelligence (AI)-assisted colonoscopy has emerged as a promising tool for improving the quality of colorectal cancer (CRC) screening. Evidence from randomized controlled trials and meta-analyses consistently shows that computer-aided detection systems significantly increase adenoma detection rate and polyp detection rate, particularly for small and flat lesions that are commonly missed during conventional colonoscopy. However, improvements in detecting advanced adenomas and CRC remain limited. Additionally, AI may increase the removal of non-neoplastic polyps. Overall, AI technologies serve as valuable decision-support tools that enhance lesion detection, reduce operator variability, and may contribute to more effective CRC prevention strategies in clinical practice. |
| Publish Date |
2026-08-06 07:34 |
| Citation |
Attieh P, Al Hazzouri A, Moubayed R, Youssef T, Karam K, Farhat SG. Advances in artificial intelligence-based colonoscopic tools and modalities: Transforming colorectal cancer detection and management. Artif Intell Gastroenterol 2026; 7(2): 120803
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| URL |
https://www.wjgnet.com/2644-3236/full/v7/i2/120803.htm |
| DOI |
https://doi.org/10.35712/aig.120803 |
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