Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	120803
Country	Lebanon

Category	Gastroenterology & Hepatology
Manuscript Type	Minireviews
Article Title	Advances in artificial intelligence-based colonoscopic tools and modalities: Transforming colorectal cancer detection and management
Manuscript Source	Invited Manuscript
All Author List	Philippe Attieh, Antonio Al Hazzouri, Rim Moubayed, Tya Youssef, Karam Karam and Said G Farhat
Funding Agency and Grant Number
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.
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; In press

Received	2026-03-09 06:01
Peer-Review Started	2026-03-09 06:02
First Decision by Editorial Office Director	2026-03-27 10:15
Return for Revision	2026-03-27 10:15
Revised	2026-03-29 17:45
Publication Fee Transferred
Second Decision by Editor	2026-05-20 02:38
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-05-20 04:02
Articles in Press	2026-05-20 04:02
Edit the Manuscript by Language Editor
Typeset the Manuscript

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.
Permissions	For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher	Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website	http://www.wjgnet.com