Letter to the Editor
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jun 14, 2025; 31(22): 106500
Published online Jun 14, 2025. doi: 10.3748/wjg.v31.i22.106500
Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy?
Vladislav V Tsukanov, Alexander V Vasyutin, Edward V Kasparov, Julia L Tonkikh
Vladislav V Tsukanov, Alexander V Vasyutin, Edward V Kasparov, Julia L Tonkikh, Clinical Department of the Digestive System Pathology of Adults and Children, Federal Research Center “Krasnoyarsk Science Center” of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, Krasnoyarsk 660022, Russia
Author contributions: Tsukanov VV, Vasyutin AV, Kasparov EV and Tonkikh JL contributed to this paper; Tsukanov VV designed the overall concept and outline of the manuscript; Tonkikh JL reviewed the literature; Vasyutin AV wrote the original draft; Tsukanov VV and Kasparov EV reviewed and edited the manuscript; Tsukanov VV, Vasyutin AV and Kasparov EV participated in drafting the manuscript; all authors have read and approved the final version of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: Vladislav V Tsukanov, MD, PhD, Full Professor, Clinical Department of the Digestive System Pathology of Adults and Children, Federal Research Center “Krasnoyarsk Science Center” of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, 3-G Partizan Zheleznyak Street, Krasnoyarsk 660022, Russia. gastro@impn.ru
Received: February 28, 2025
Revised: April 3, 2025
Accepted: April 22, 2025
Published online: June 14, 2025
Processing time: 104 Days and 20.6 Hours
Core Tip

Core Tip: Endoscopic screening of colorectal polyps is one of the most relevant methods for preventing colorectal cancer. Recently, various artificial intelligence (AI) systems have been used extremely actively to improve the efficiency of polyp diagnostics during colonoscopy. However, until now along with increasing the efficiency of polyp detection and reducing the number of errors during colonoscopy, a number of modern studies note the presence of significant limitations and the possibility of false diagnostics when using AI in real clinical practice. The prospects for using AI for this issue are undeniable, but long-term efforts are required along this road.