Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
A comprehensive analysis of LLM integration in mental health diagnostics, therapy support, and ethical safeguards.
We present a review on the applications of large language models (LLMs) in health, e.g., social media analysis, clinical conversational agents, therapy support tools, prompt engineering, multimodal learning, and ethical considerations. We integrate findings from interdisciplinary...
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The integration of LLMs into mental health care offers a transformative shift toward proactive, data-driven diagnostic support and personalized therapeutic interventions. However, the reliance on sensitive clinical data necessitates rigorous ethical frameworks to address critical risks regarding privacy, bias, and automated decision-making.
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