Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis

doi:10.3748/wjg.v31.i21.105753

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Jun 7, 2025 (publication date) through Jun 6, 2025

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Meta-Analysis

World J Gastroenterol. Jun 7, 2025; 31(21): 105753
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.105753

Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis

Sheng-Yu Wang, Jia-Cheng Gao, Shuo-Dong Wu

Sheng-Yu Wang, The Second Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China

Jia-Cheng Gao, Department of Orthopedic Surgery, The First Hospital of China Medical University, Shenyang 110001, Liaoning Province, China

Shuo-Dong Wu, Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China

Co-first authors: Sheng-Yu Wang and Jia-Cheng Gao.

Author contributions: Wang SL and Gao JC designed the research study; Wang SL, Gao JC, and Wu SD performed the research; Wang SL, Gao JC, and Wu SD analyzed the data and wrote the manuscript; all authors have read and approved the final manuscript.

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

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: Shuo-Dong Wu, MD, Chief, Professor, Department of General Surgery, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110004, Liaoning Province, China. 13909824526@163.com

Received: February 6, 2025
Revised: March 21, 2025
Accepted: May 19, 2025
Published online: June 7, 2025
Processing time: 120 Days and 14.1 Hours

Core Tip

Core Tip: Artificial intelligence is being increasingly used in colonoscopy, with more and more studies reporting its potential benefits. However, most studies have focused on adenoma detection rate (ADR) as the primary outcome and assessed only short-term effects. Recently, adenoma miss rate (AMR) has gained more attention, and based on this, we designed this meta-analysis to evaluate the effect of computer-aided detection on AMR, compared it with ADR, and assessed its long-term impact.