Research Articie
28 April 2026
Graph-Enhanced Medical Question-Answering System Integrating Knowledge Graphs and Large Language Models
Yiqin Huang
1
,
Qing Liu
1
,
Meiling Wang
2
,
Zhengru Xie
1
,
Baopeng Ding
3,
4
dingbp@sxdtdx.edu.cn; amber4@yeah.net
,
Ziwei Wang
5
,
Fenglong Yang
2,
6,
7
yangfenglong@fjmu.edu.cn
show author's information
- 1 : School of Medical Imaging, Fujian Medical University, Fuzhou, China
- 2 : Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, China
- 3 : Shanxi Datong University, Engineering Research Center of Coal-Based Ecological Carbon Sequestration Technology of the Ministry of Education, Datong, China
- 4 : Boskind Research (Shanxi) Technology Co., Ltd., and Shanxi Yanyun Herbal Medicine Technology Co., Ltd.
- 5 : 5 Biomedical Sciences College & Shandong Medicinal Biotechnology Centre, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji’nan, Shandong, China
- 6 : The Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, Fujian Medical University, Fuzhou, China
- 7 : Key Laboratory of Gastrointestinal Cancer (Fujian Medical University), Ministry of Education, Fuzhou, China
DOI:
10.55578/joaims.260408.001
Keywords:
Knowledge graph (KG), Graph algorithms, Large language model (LLM), Intelligent question answering
