Retrospective Cohort Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
Artif Intell Gastrointest Endosc. Dec 8, 2023; 4(2): 18-26
Published online Dec 8, 2023. doi: 10.37126/aige.v4.i2.18
Artificial intelligence fails to improve colonoscopy quality: A single centre retrospective cohort study
Naeman Goetz, Katherine Hanigan, Richard Kai-Yuan Cheng
Naeman Goetz, Katherine Hanigan, Richard Kai-Yuan Cheng, Department of Gastroenterology, Redcliffe Hospital, Redcliffe 4020, Australia
Author contributions: All authors conceived the idea. KH collated the data from the departmental database; Goetz N performed the statistical analysis and was primarily responsible for writing the manuscript; Cheng RKY provided substantial revisions to the manuscript.
Institutional review board statement: The study was approved by the local Human Research Ethics Committee (HREC/2023/MNHA/100582).
Informed consent statement: A waiver of consent was obtained from the HREC.
Conflict-of-interest statement: The authors declare there is no potential sources of conflict of interest. This study was not funded, with research work conducted in-kind.
Data sharing statement: The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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.
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: Naeman Goetz, BSc, MD, Doctor, Department of Gastroenterology, Redcliffe Hospital, Anzac Ave, Redcliffe QLD 4020, Redcliffe 4020, Australia. naeman.goetz@health.qld.gov.au
Received: September 4, 2023
Peer-review started: September 4, 2023
First decision: November 1, 2023
Revised: November 7, 2023
Accepted: November 30, 2023
Article in press: November 30, 2023
Published online: December 8, 2023
Processing time: 93 Days and 5.7 Hours
Core Tip

Core Tip: This paper investigates the utility of Artificial Intelligence Assisted Colonoscopy (AIAC) in enhancing colonoscopy quality, particularly adenoma detection rate. Using a retrospective design, we compare AIAC with conventional colonoscopy in a real-world setting, finding no significant improvement in surrogate markers of colonoscopy quality. We explore challenges in artificial intelligence-human interaction and emphasise the need for further validation.