| 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: http://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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| 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 |
DeepGut: A collaborative multimodal large language model framework for digestive disease assisted diagnosis and treatment
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiao-Han Wan, Mei-Xia Liu, Yan Zhang, Guan-Jun Kou, Lei-Qi Xu, Han Liu, Xiao-Yun Yang, Xiu-Li Zuo and Yan-Qing Li |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| China Health Promotion Foundation Young Doctors' Research Foundation for Inflammatory Bowel Disease |
|
| Taishan Scholars Program of Shandong Province, China |
tsqn202306343 |
| National Natural Science Foundation of China |
82270580 |
| National Natural Science Foundation of China |
82070552 |
| National Natural Science Foundation of China |
82270578 |
| National Natural Science Foundation of China |
82300599 |
|
| 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 |
Gastrointestinal diseases; Artificial intelligence-assisted diagnosis and treatment; Multimodal large language model; Multiple large language model collaboration; DeepGut |
| Core Tip |
This study introduces DeepGut, a multimodal large language model (LLM) collaborative framework designed to assist in diagnostic processes by integrating multiple LLMs to extract and fuse multimodal clinical data such as medical history, laboratory tests, and imaging results. DeepGut significantly improves the diagnostic accuracy and comprehensiveness of gastrointestinal diseases compared with single-modal tools, as evidenced by expert validation. However, the framework’s higher token consumption by LLMs increases the operational costs, highlighting a key area for future optimization efforts. |
| Publish Date |
2025-08-18 10:04 |
| Citation |
<p>Wan XH, Liu MX, Zhang Y, Kou GJ, Xu LQ, Liu H, Yang XY, Zuo XL, Li YQ. DeepGut: A collaborative multimodal large language model framework for digestive disease assisted diagnosis and treatment. <i>World J Gastroenterol</i> 2025; 31(31): 109948</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i31/109948.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i31.109948 |
