| 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) 2024. 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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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 large language models as patient education tools for inflammatory bowel disease: A comparative study
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yan Zhang, Xiao-Han Wan, Qing-Zhou Kong, Han Liu, Jun Liu, Jing Guo, Xiao-Yun Yang, Xiu-Li Zuo and Yan-Qing Li |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the China Health Promotion Foundation Young Doctors' Research Foundation for Inflammatory Bowel Disease, the Taishan Scholars Program of Shandong Province, China |
tsqn202306343 |
| National Natural Science Foundation of China |
82270578 |
|
| Corresponding Author |
Yan-Qing Li, PhD, Professor, Department of Gastroenterology, Qilu hospital of Shandong University, No. 107 Wenhuaxi Road, Jinan 250012, Shandong Province, China. liyanqing@sdu.edu.cn |
| Key Words |
Inflammatory bowel disease; Large language models; Patient education; Medical information accuracy; Readability assessment |
| Core Tip |
This study evaluated the performance of three large language models, ChatGPT-4.0, Claude-3-Opus, and Gemini-1.5-Pro, in providing accurate and comprehensible information for patients with inflammatory bowel disease. Although all three models showed satisfactory accuracy and relevance, Claude-3-Opus excelled in terms of readability and patient comprehensibility. However, discrepancies in the provision of complex medical advice highlight the need for further optimization and specialized model development to ensure safe and accurate patient education. |
| Publish Date |
2025-01-10 08:40 |
| Citation |
<p>Zhang Y, Wan XH, Kong QZ, Liu H, Liu J, Guo J, Yang XY, Zuo XL, Li YQ. Evaluating large language models as patient education tools for inflammatory bowel disease: A comparative study. <i>World J Gastroenterol</i> 2025; 31(6): 102090</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i6/102090.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i6.102090 |
