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10/14/2025 7:42:34 AM | Browse: 12 | Download: 74
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 109792
Country China
Received
2025-05-22 06:55
Peer-Review Started
2025-05-22 06:56
To Make the First Decision
Return for Revision
2025-06-04 01:41
Revised
2025-06-17 17:34
Second Decision
2025-08-27 02:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-08-27 09:01
Articles in Press
2025-08-27 09:01
Publication Fee Transferred
2025-06-21 13:47
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-10-08 09:26
Publish the Manuscript Online
2025-10-14 07:42
ISSN 1948-5204 (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
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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 Observational Study
Article Title Evaluating chat generative pretrained transformer in answering questions on endoscopic mucosal resection and endoscopic submucosal dissection
Manuscript Source Unsolicited Manuscript
All Author List Shi-Song Wang, Hui Gao, Peng-Yao Lin, Tian-Chen Qian, Ying Du and Lei Xu
ORCID
Author(s) ORCID Number
Hui Gao http://orcid.org/0000-0001-5899-2784
Lei Xu http://orcid.org/0000-0001-6017-3745
Funding Agency and Grant Number
Funding Agency Grant Number
the Ningbo Top Medical and Health Research Program 2023020612
the Ningbo Leading Medical & Healthy Discipline Project 2022-S04
the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2022KY315
Ningbo Science and Technology Public Welfare project 2023S133
Corresponding Author Lei Xu, MD, PhD, Department of Gastroenterology, The First Affiliated Hospital of Ningbo University, No. 59 Liuting Street, Ningbo 315010, Zhejiang Province, China. xulei22@163.com
Key Words Endoscopic submucosal dissection; Endoscopic mucosal dissection; Artificial intelligence; Chat generative pretrained transformer; Patient education; Google
Core Tip This study evaluated the reliability and usefulness of chat generative pretrained transformer in addressing questions related to endoscopic submucosal dissection and endoscopic mucosal resection. A set of thirty targeted questions was repeatedly entered, and responses were independently rated for accuracy, completeness, and comprehensibility. Compared with Google, chat generative pretrained transformer produced more accurate, detailed, and easier to understand answers, with consistent agreement among evaluators. The findings indicate that chat generative pretrained transformer may serve as a valuable and accessible source of medical information for both patients and healthcare professionals.
Publish Date 2025-10-14 07:42
Citation <p>Wang SS, Gao H, Lin PY, Qian TC, Du Y, Xu L. Evaluating chat generative pretrained transformer in answering questions on endoscopic mucosal resection and endoscopic submucosal dissection. <i>World J Gastrointest Oncol</i> 2025; 17(10): 109792</p>
URL https://www.wjgnet.com/1948-5204/full/v17/i10/109792.htm
DOI https://dx.doi.org/10.4251/wjgo.v17.i10.109792
Full Article (PDF) WJGO-17-109792-with-cover.pdf
STROBE Statement 109792-STROBE-statement.pdf
Manuscript File 109792_Auto_Edited_032755.docx
Answering Reviewers 109792-answering-reviewers.pdf
Audio Core Tip 109792-audio.mp3
Biostatistics Review Certificate 109792-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 109792-conflict-of-interest-statement.pdf
Copyright License Agreement 109792-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s) 109792-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document 109792-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 109792-non-native-speakers.pdf
Supplementary Material 109792-supplementary-material.pdf
Peer-review Report 109792-peer-reviews.pdf
Scientific Misconduct Check 109792-scientific-misconduct-check.png
Scientific Editor Work List 109792-scientific-editor-work-list.pdf
CrossCheck Report 109792-crosscheck-report.pdf