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Large Language Models for Mental Health Applications: Systematic Review

Medicine and Health

Large Language Models for Mental Health Applications: Systematic Review

Z. Guo, A. Lai, et al.

Large language models (LLMs) show promise for early screening, digital interventions, and clinical support in mental health, but also pose risks such as inconsistent outputs, hallucinations, and ethical and privacy gaps. This systematic review synthesizes evidence on models, methodologies, data sources, and outcomes, concluding that LLMs are not substitutes for professional care but may serve as valuable clinical aids with further research. Research conducted by Authors present in <Authors> tag.... show more
Citation Metrics
Citations
115
Influential Citations
8
Reference Count
168
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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