Work

Neuro-symbolic information fusion for explainable retrieval-augmented generation in mental health applications: A survey and challenges

Year: 2026

Type: article

Source: Information Fusion

DOI: 10.1016/j.inffus.2026.104702

Authors: Xin Kang, Weiping Ding, Kazuyuki Matsumoto, Linhuang Wang, Hai-Tao Yu, Xuefeng Shi

Institutions: Tokushima University, Nantong University, City University of Macau, The University of Tokyo, University of Tsukuba

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, Japan Society for the Promotion of Science, National Key Research and Development Program of China

Awards: G1581597255, Meta-prompt-optimized multimodal AI that elicits empathetic responses, G4740495123

OpenAlex ID: W7202385061

FWCI: 1.967

Cites: 104

Cited by: 1

Related to: 10