DeepGut: A collaborative multimodal large language model framework for digestive disease assisted diagnosis and treatment

The framework achieves successful integration of multimodal diagnostic data, demonstrating enhanced performance enabled by multimodal LLM collaboration, which opens new horizons for the clinical application of artificial intelligence-assisted technology.

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Publication Details

Journal
World Journal of Gastroenterology
Published
2025-08-18
DOI
https://doi.org/10.3748/wjg.v31.i31.109948
Citations
1
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.48
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article

DeepGut: A collaborative multimodal large language model framework for digestive disease assisted diagnosis and treatment

Xiuli Zuo, Guanjun Kou, Leiqi Xu, Yanqing Li et al.
1 citations
World Journal of Gastroenterology
Topic Modeling
2.48
article

DeepGut: A collaborative multimodal large language model framework for digestive disease assisted diagnosis and treatment

Xiuli Zuo, Guanjun Kou, Leiqi Xu, Yanqing Li, Yan Zhang, Xiaoyun Yang, Meixia Liu, Xiao-Han Wan, Han Liu
article en
1 citations

Abstract

The framework achieves successful integration of multimodal diagnostic data, demonstrating enhanced performance enabled by multimodal LLM collaboration, which opens new horizons for the clinical application of artificial intelligence-assisted technology.

World Journal of GastroenterologyVol. 31(31)
Qilu Hospital of Shandong University (CN)
Openalex Percentile: Top 9%
Topic Modeling
2.48
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