BPG is committed to discovery and dissemination of knowledge
Featured Articles
6/6/2025 10:00:57 AM | Browse: 3 | Download: 0
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 106149
Country United States
Received
2025-02-18 03:41
Peer-Review Started
2025-02-18 03:41
To Make the First Decision
Return for Revision
2025-03-11 08:49
Revised
2025-03-23 09:46
Second Decision
2025-05-08 02:51
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-05-08 12:18
Articles in Press
2025-05-08 12:18
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-06-04 00:38
Publish the Manuscript Online
2025-06-06 09:35
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: https://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
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
Category Gastroenterology & Hepatology
Manuscript Type Systematic Reviews
Article Title Current status of artificial intelligence colonoscopy on improving adenoma detection rate based on systematic review of multiple metanalysis
Manuscript Source Invited Manuscript
All Author List Maryam A Aleissa, Micheal Luca, Jai P Singh, Gautham Chitragari, Ernesto R Drelichman, Vijay K Mittal and Jasneet S Bhullar
Funding Agency and Grant Number
Corresponding Author Jasneet S Bhullar, FASCRS, FRCS (Gen Surg), MD, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, 16001 W Nine Mile Rd, Southfield, MI 48075, Southfield, MI 48075, United States. drjsbhullar@gmail.com
Key Words Artificial intelligence; Artificial intelligence assistance colonoscopy; Adenoma detection rate; Colon cancer prevention; Colonoscopy
Core Tip Artificial intelligence (AI) has shown promising potential in improving the adenoma detection rate (ADR) during colonoscopy, particularly for junior endoscopists and those with a lower baseline ADR. However, expert endoscopists continue to outperform AI in real-world settings, especially in detecting flat and serrated lesions. While the implementation of AI-assisted colonoscopy does not significantly impact withdrawal time, its effectiveness in routine clinical practice remains uncertain. Future research should focus on the role of AI-assisted colonoscopy in colorectal cancer prevention, its impact on resident and fellow training, and its ability to enhance the detection of challenging lesions.
Publish Date 2025-06-06 09:35
Citation <p>Aleissa MA, Luca M, Singh JP, Chitragari G, Drelichman ER, Mittal VK, Bhullar JS. Current status of artificial intelligence colonoscopy on improving adenoma detection rate based on systematic review of multiple metanalysis. <i>Artif Intell Gastroenterol</i> 2025; 6(1): 106149</p>
URL https://www.wjgnet.com/2644-3236/full/v6/i1/106149.htm
DOI https://dx.doi.org/10.35712/aig.v6.i1.106149
Full Article (PDF) AIG-6-106149-with-cover.pdf
PRISMA 2009 Checklist 106149-PRISMA-2009-Checklist.pdf
Manuscript File 106149_Auto_Edited_085928.docx
Answering Reviewers 106149-answering-reviewers.pdf
Audio Core Tip 106149-audio.m4a
Biostatistics Review Certificate 106149-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 106149-conflict-of-interest-statement.pdf
Copyright License Agreement 106149-copyright-assignment.pdf
Peer-review Report 106149-peer-reviews.pdf
Scientific Misconduct Check 106149-scientific-misconduct-check.png
Scientific Editor Work List 106149-scientific-editor-work-list.pdf
CrossCheck Report 106149-crosscheck-report.pdf