Copyright
©The Author(s) 2025.
World J Gastroenterol. Aug 21, 2025; 31(31): 109948
Published online Aug 21, 2025. doi: 10.3748/wjg.v31.i31.109948
Published online Aug 21, 2025. doi: 10.3748/wjg.v31.i31.109948
Figure 1 DeepGut structure.
LLM: Large language model.
Figure 2 Fusion layer structure.
LLM: Large language model.
Figure 3 Objective evaluation results.
DA: Diagnostic accuracy; DC: Diagnostic completeness; TPA: Treatment plan accuracy; TPC: Treatment plan completeness.
Figure 4 Overall results of the subjective expert evaluation.
A: Scores for the output of each patient; B: Summary of the subjective metrics.
Figure 5 The detailed evaluation results for the five selected cases.
A: Case 6; B: Case 7; C: Case 8; D: Case 9; E: Case 10.
- 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; 31(31): 109948
- URL: https://www.wjgnet.com/1007-9327/full/v31/i31/109948.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i31.109948