Publication Name	World Journal of Gastroenterology
Manuscript ID	109948
Country	China

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
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.
Citation	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. World J Gastroenterol 2025; In press

Received	2025-05-27 03:46
Peer-Review Started	2025-05-27 03:46
To Make the First Decision
Return for Revision	2025-06-24 11:11
Revised	2025-06-28 11:09
Second Decision	2025-07-25 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-07-25 06:16
Articles in Press	2025-07-25 06:16
Publication Fee Transferred	2025-06-30 01:18
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1007-9327 (print) and 2219-2840 (online)
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