LLMs in mental health care show promise but evidence still too uncertain for routine use
BACKGROUND General-purpose large language models (LLMs) are increasingly being tested in mental health care, where language is central to assessment, diagnosis, risk evaluation, therapeutic interaction, monitoring, and patient education. However, their clinical usefulness, safety, and readiness for implementation remain uncertain. Existing reviews have largely been descriptive or scoping in nature, and broad health care reviews have not examined in detail the distinctive risks and applications of LLMs in mental health care. OBJECTIVE We aim to systematically review empirical evidence
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