Kong D, Jiao Y, Liu YH. From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy. World J Gastroenterol 2026; 32(38): 118617 [DOI: 10.3748/wjg.118617]
Corresponding Author of This Article
Ya-Hui Liu, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. yahui@jlu.edu.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
editorial
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
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Kong D, Jiao Y, Liu YH. From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy. World J Gastroenterol 2026; 32(38): 118617 [DOI: 10.3748/wjg.118617]
World J Gastroenterol. Oct 14, 2026; 32(38): 118617 Published online Oct 14, 2026. doi: 10.3748/wjg.118617
From availability to adoption: Why endoscopist-level use determines the real-world impact of computer-aided detection in colonoscopy
Di Kong, Yan Jiao, Ya-Hui Liu
Di Kong, Anesthesia Recovery Room, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
Yan Jiao, Ya-Hui Liu, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
Co-corresponding authors: Yan Jiao and Ya-Hui Liu.
Author contributions: Jiao Y conceived the study and designed the editorial framework; Liu YH conducted the literature review and evidence synthesis; Kong D drafted the manuscript; Jiao Y and Liu YH are co-corresponding authors and jointly supervised the work; all authors approved the final manuscript. Jiao Y conceived the central concept and overall editorial framework of the manuscript, while Liu YH contributed substantially to the literature synthesis, interpretation of current evidence, and the clinical implementation perspective. Both authors jointly supervised the development of the manuscript and made complementary intellectual contributions throughout the writing and revision process; therefore, designating them as co-corresponding authors appropriately reflects their shared leadership and responsibility for the work.
Conflict-of-interest statement: There is no conflict of interest.
Corresponding author: Ya-Hui Liu, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. yahui@jlu.edu.cn
Received: January 7, 2026 Revised: February 26, 2026 Accepted: March 10, 2026 Published online: October 14, 2026 Processing time: 241 Days and 6.8 Hours
Core Tip
Core Tip: Computer-aided detection (CADe) systems have proven efficacy in improving adenoma detection rate during colonoscopy, yet their real-world impact remains heterogeneous. Emerging evidence suggests that CADe effectiveness is not determined by mere availability but by endoscopist-level adoption and integration into routine practice. Stratifying endoscopists by CADe usage frequency reveals a dose-response relationship between use intensity and adenoma yield. These findings underscore the need to shift implementation strategies from passive deployment toward active training, adherence, and behavioral optimization to fully realize the clinical value of CADe, highlighting endoscopist-level adoption as a key translational determinant beyond mere technological availability.
