Publication Name	World Journal of Gastroenterology
Manuscript ID	119276
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Clinical Trials Study
Article Title	Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy
Manuscript Source	Unsolicited Manuscript
All Author List	Wen Chen, Meng Wu, Heng-Yu Wang, Hong-Bo Wu, Jie Li, Yu-Hao Sun, Fang Huang, Min Gao, Zhi-Hang Zhong, Yan-Min Wu and Lei Chen
Funding Agency and Grant Number	Funding Agency Grant Number Chongqing Science and Health Joint Medical Research Project No. 2023ZDXM007
Corresponding Author	Lei Chen, Full Professor, MD, PhD, Department of Gastroenterology, Southwest Hospital of Army Medical University, No. 30 Gaotanyan, Shapingba District, Chongqing 400038, China. xhl13228683896@tmmu.edu.cn
Key Words	Colonoscopy; Artificial intelligence; Mucosa touch rate; Polyp detection rate; Adenoma detection rate
Core Tip	This study introduces an artificial intelligence-based mucosa touch rate (MTR) as a novel real-time quality indicator for colonoscopy. Using a deep learning model, MTR objectively quantifies mucosal contact during withdrawal. The results demonstrate a strong negative correlation between MTR and polyp detection rate (PDR). Prospective validation shows that real-time MTR feedback significantly improves PDR, particularly among less experienced endoscopists, highlighting its potential for real-time skill assessment and standardized training in colonoscopy quality control.
Citation	Chen W, Wu M, Wang HY, Wu HB, Li J, Sun YH, Huang F, Gao M, Zhong ZH, Wu YM, Chen L. Artificial intelligence-based mucosa touch rate: A novel real-time quality control indicator for colonoscopy. World J Gastroenterol 2026; In press

Received	2026-01-26 07:11
Peer-Review Started	2026-01-26 07:12
First Decision by Editorial Office Director	2026-02-04 10:10
Return for Revision	2026-02-04 10:10
Revised	2026-02-15 09:08
Publication Fee Transferred	2026-02-25 12:57
Second Decision by Editor	2026-03-25 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-03-25 07:05
Articles in Press	2026-03-25 07:05
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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