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Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 109991
Country China
Received
2025-05-28 09:34
Peer-Review Started
2025-05-28 09:34
To Make the First Decision
Return for Revision
2025-08-08 09:44
Revised
2025-08-16 05:41
Second Decision
2025-09-15 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-09-15 07:22
Articles in Press
2025-09-15 07:22
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-11-17 02:29
Publish the Manuscript Online
2025-11-25 11:05
ISSN 1948-9366 (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 Meta-Analysis
Article Title Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis
Manuscript Source Invited Manuscript
All Author List Zong-Yang Li, Ya-Hui Liu and Hong-Qiao Cai
ORCID
Author(s) ORCID Number
Zong-Yang Li http://orcid.org/0009-0002-5932-9559
Ya-Hui Liu http://orcid.org/0000-0003-3081-8156
Hong-Qiao Cai http://orcid.org/0000-0002-7022-3512
Funding Agency and Grant Number
Corresponding Author Hong-Qiao Cai, MD, PhD, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, No. 1 Xinmin Street, Changchun 130021, Jilin Province, China. hongqiaocai@jlu.edu.cn
Key Words Artificial intelligence; Real-time computer-aided detection system; Precancerous lesion; Esophagogastroduodenoscopy; Endoscopy; Upper gastrointestinal tract; Diagnostic performance; Meta-analysis
Core Tip This meta-analysis indicates that the artificial intelligence-enabled real-time computer-aided detection system (AI-CAD) system is superior to endoscopists in detecting precancerous lesions of the upper gastrointestinal (UGI) tract. Its sensitivity, specificity, and diagnostic accuracy are higher, which is helpful in improving lesion recognition ability and may reduce the rate of missed diagnoses. These findings support the clinical potential of integrating AI-CAD into routine endoscopy practice to enhance the early detection and prevention of UGI cancers.
Publish Date 2025-11-25 11:05
Citation <p>Li ZY, Liu YH, Cai HQ. Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis. <i>World J Gastrointest Surg</i> 2025; 17(11): 109991</p>
URL https://www.wjgnet.com/1948-9366/full/v17/i11/109991.htm
DOI https://dx.doi.org/10.4240/wjgs.v17.i11.109991
Full Article (PDF) WJGS-17-109991-with-cover.pdf
PRISMA 2009 Checklist 109991-PRISMA-2009-Checklist.pdf
Manuscript File 109991_Auto_Edited_083854.docx
Answering Reviewers 109991-answering-reviewers.pdf
Audio Core Tip 109991-audio.mp3
Biostatistics Review Certificate 109991-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 109991-conflict-of-interest-statement.pdf
Copyright License Agreement 109991-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 109991-non-native-speakers.pdf
Supplementary Material 109991-supplementary-material.pdf
Peer-review Report 109991-peer-reviews.pdf
Scientific Misconduct Check 109991-scientific-misconduct-check.png
Scientific Editor Work List 109991-scientific-editor-work-list.pdf
CrossCheck Report 109991-crosscheck-report.pdf