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6/12/2025 3:45:49 AM | Browse: 8 | Download: 50
Publication Name World Journal of Gastroenterology
Manuscript ID 106500
Country Russia
Received
2025-02-28 12:06
Peer-Review Started
2025-02-28 12:06
To Make the First Decision
Return for Revision
2025-03-20 20:05
Revised
2025-04-03 04:15
Second Decision
2025-04-22 02:42
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-04-22 06:05
Articles in Press
2025-04-22 06:05
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-05-30 03:37
Publish the Manuscript Online
2025-06-12 03:45
ISSN 1007-9327 (print) and 2219-2840 (online)
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/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Letter to the Editor
Article Title Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy?
Manuscript Source Invited Manuscript
All Author List Vladislav V Tsukanov, Alexander V Vasyutin, Edward V Kasparov and Julia L Tonkikh
ORCID
Author(s) ORCID Number
Vladislav V Tsukanov http://orcid.org/0000-0002-9980-2294
Alexander V Vasyutin http://orcid.org/0000-0002-6481-3196
Edward V Kasparov http://orcid.org/0000-0002-5988-1688
Julia L Tonkikh http://orcid.org/0000-0001-7518-1895
Funding Agency and Grant Number
Corresponding Author Vladislav V Tsukanov, Full Professor, MD, PhD, 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
Key Words Artificial intelligence; Colorectal cancer; Colorectal polyps; Colonoscopy; Diagnostics
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.
Publish Date 2025-06-12 03:45
Citation <p>Tsukanov VV, Vasyutin AV, Kasparov EV, Tonkikh JL. Is the use of artificial intelligence the main stage for detecting polyps during colonoscopy? <i>World J Gastroenterol</i> 2025; 31(22): 106500</p>
URL https://www.wjgnet.com/1007-9327/full/v31/i22/106500.htm
DOI https://dx.doi.org/10.3748/wjg.v31.i22.106500
Full Article (PDF) WJG-31-106500-with-cover.pdf
Manuscript File 106500_Auto_Edited_070048.docx
Answering Reviewers 106500-answering-reviewers.pdf
Audio Core Tip 106500-audio.mp3
Conflict-of-Interest Disclosure Form 106500-conflict-of-interest-statement.pdf
Copyright License Agreement 106500-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 106500-non-native-speakers.pdf
Peer-review Report 106500-peer-reviews.pdf
Scientific Misconduct Check 106500-scientific-misconduct-check.png
Scientific Editor Work List 106500-scientific-editor-work-list.pdf
CrossCheck Report 106500-crosscheck-report.pdf