A scoping review of large language models for generative tasks in mental health care.

ABSTRACT: Large language models (LLMs) show promise in mental health care for handling human-like conversations, but their effectiveness remains uncertain. This scoping review synthesizes existing research on LLM applications in mental health care, reviews model performance and clinical effectiveness, identifies gaps in current evaluation methods following a structured evaluation framework, and provides recommendations for future development. A systematic search identified 726 unique articles, of which 16 met the inclusion criteria. These studies, encompassing applications such as clinical assistance, counseling, therapy, and emotional support, show initial promises. However, the evaluation methods were often non-standardized, with most studies relying on ad-hoc scales that limit comparability and r

SUBMITTER: Hua Y 

PROVIDER: S-EPMC12043943 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature