Copyright
©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastroenterol. Jun 8, 2025; 6(1): 106149
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.106149
Published online Jun 8, 2025. doi: 10.35712/aig.v6.i1.106149
Current status of artificial intelligence colonoscopy on improving adenoma detection rate based on systematic review of multiple metanalysis
Maryam A Aleissa, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, Southfeild, MI 48075, United States
Maryam A Aleissa, Collage of Medicine, Princess Nourah bint Abdulrhman University, Riyadh 84428, Saudi Arabia
Micheal Luca, Jai P Singh, Gautham Chitragari, Ernesto R Drelichman, Vijay K Mittal, Jasneet S Bhullar, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, Southfield, MI 48075, United States
Author contributions: Aleissa MA, Luca M perform the research and collect the data; Sing JP, Chitragari G, Drelichman ER, Mittal VK, Bhullar JS design and edits the research
Conflict-of-interest statement: All authors declare no conflicts of interest to disclose.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
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/
Corresponding author: Jasneet S Bhullar, FASCRS, MD, Department of Surgery, Henry Ford Providence Hospital, Michigan State University College of Human Medicine, 16001 W Nine Mile Rd, Southfield, MI 48075, United States. drjsbhullar@gmail.com
Received: February 18, 2025
Revised: March 23, 2025
Accepted: May 8, 2025
Published online: June 8, 2025
Processing time: 109 Days and 5.7 Hours
Revised: March 23, 2025
Accepted: May 8, 2025
Published online: June 8, 2025
Processing time: 109 Days and 5.7 Hours
Core Tip
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.