Publication Name	World Journal of Gastroenterology
Manuscript ID	97258
Country	South Korea

Received	2024-05-27 02:36
Peer-Review Started	2024-05-27 02:36
To Make the First Decision
Return for Revision	2024-07-05 01:33
Revised	2024-07-15 05:51
Second Decision	2024-07-22 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-07-22 05:47
Articles in Press	2024-07-22 05:47
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-07-24 03:12
Publish the Manuscript Online	2024-07-29 02:31

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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Evaluating the role of large language models in inflammatory bowel disease patient information
Manuscript Source	Invited Manuscript
All Author List	Eun Jeong Gong and Chang Seok Bang
ORCID	Author(s) ORCID Number Eun Jeong Gong http://orcid.org/0000-0003-3996-3472 Chang Seok Bang http://orcid.org/0000-0003-4908-5431
Funding Agency and Grant Number
Corresponding Author	Chang Seok Bang, MD, PhD, Associate Professor, Doctor, Doctor, Department of Internal Medicine, Hallym University College of Medicine, Sakju-ro 77, Chuncheon 24253, Gangwon-do, South Korea. csbang@hallym.ac.kr
Key Words	Crohn’s disease; Ulcerative colitis; Inflammatory bowel disease; Chat generative pre-trained transformer; Large language model; Artificial intelligence
Core Tip	This commentary evaluates the article by Gravina et al on ChatGPT’s potential in providing medical information for inflammatory bowel disease patients. While promising, it highlights the need for advanced techniques like reasoning + action and retrieval-augmented generation to improve accuracy, emphasizing that simple question-and-answer testing is insufficient for evaluating large language models’ true capabilities.
Publish Date	2024-07-29 02:31
Citation	<p>Gong EJ, Bang CS. Evaluating the role of large language models in inflammatory bowel disease patient information. <i>World J Gastroenterol</i> 2024; 30(29): 3538-3540</p>
URL	https://www.wjgnet.com/1007-9327/full/v30/i29/3538.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i29.3538

Full Article (PDF)	WJG-30-3538-with-cover.pdf
Manuscript File	97258_Auto_Edited_014529.docx
Answering Reviewers	97258-answering-reviewers.pdf
Audio Core Tip	97258-audio.mp3
Conflict-of-Interest Disclosure Form	97258-conflict-of-interest-statement.pdf
Copyright License Agreement	97258-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	97258-non-native-speakers.pdf
Peer-review Report	97258-peer-reviews.pdf
Scientific Misconduct Check	97258-scientific-misconduct-check.png
Scientific Editor Work List	97258-scientific-editor-work-list.pdf
CrossCheck Report	97258-crosscheck-report.png
CrossCheck Report	97258-crosscheck-report.pdf