Copyright
©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jan 28, 2026; 32(4): 112698
Published online Jan 28, 2026. doi: 10.3748/wjg.v32.i4.112698
Published online Jan 28, 2026. doi: 10.3748/wjg.v32.i4.112698
Availability and use of computer-aided detection during colonoscopy: A real-world observational study at an Australian tertiary center
Vikram Rao, Teagan Wanigaratne, Suzannah Henshaw, Gordon Chen, Sheng Wei Lo, Kim Hay Be, Marcus Robertson, Leonardo Zorron Cheng Tao Pu, Department of Gastroenterology, Peninsula Health, Melbourne 3199, Victoria, Australia
Nirbaanjot Walia, Nikita Parkash, Department of Gastroenterology, Monash Health, Melbourne 3168, Victoria, Australia
Marcus Robertson, Leonardo Zorron Cheng Tao Pu, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne 3800, Victoria, Australia
Co-corresponding authors: Vikram Rao and Leonardo Zorron Cheng Tao Pu.
Author contributions: Zorron Cheng Tao Pu L and Rao V designed the research study. Wanigaratne T, Parkash N, Henshaw S, and Chen G assisted with data collection and writing up of the manuscript. Walia N and Lo SW assisted in statistical analysis of the data. Zorron Cheng Tao Pu L, Robertson M, and Be KH supervised the research and final write up process. Both Zorron Cheng Tao Pu L and Rao V have played important roles in the design, data interpretation and manuscript preparation as the co-corresponding authors. Zorron Cheng Tao Pu L conceptualised and supervised the whole project. Rao V was responsible for conceputalisation and design of the study, the majority of data collection, literature search, and preparation of the manuscript and its subsequent revisions. Their collaboration was crucial for the publication of this manuscript.
Institutional review board statement: This study was approved by the Research Office of Peninsula Heath, Frankston, Victoria, Australia.
Informed consent statement: The need for patient consent was waived due to the retrospective nature of the study.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at
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: Vikram Rao, MBBS, Department of Gastroenterology, Peninsula Health, 2 Hastings Road, Frankston, Melbourne 3199, Victoria, Australia.
Received: August 4, 2025
Revised: November 22, 2025
Accepted: December 29, 2025
Published online: January 28, 2026
Processing time: 172 Days and 7.3 Hours
Revised: November 22, 2025
Accepted: December 29, 2025
Published online: January 28, 2026
Processing time: 172 Days and 7.3 Hours
Core Tip
Core Tip: This study evaluates the real-world impact of varying computer-aided detection (CADe) usage frequency on colonoscopy quality metrics in a tertiary Australian endoscopy center. Endoscopists were stratified by CADe usage, revealing that even partial use (50%-99% of procedures) significantly improved adenoma detection rate (ADR). High-frequency users maintained high ADR, but total adenomas per procedure increased, highlighting additional quality benefits. The findings emphasize that CADe effectiveness depends not only on technology availability but also on endoscopist level of usage, offering insights into optimizing implementation and improving patient outcomes through enhanced polyp detection and risk stratification.