Publication Name	Artificial Intelligence in Gastroenterology
Manuscript ID	106149
Country	United States

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.
Citation	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. Artif Intell Gastroenterol 2025; In press

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
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ISSN	2644-3236 (online)
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