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Large Language Model for Mental Health: A Systematic Review
March 26, 2024, 4:51 a.m. | Zhijun Guo, Alvina Lai, Johan Hilge Thygesen, Joseph Farrington, Thomas Keen, Kezhi Li
cs.CL updates on arXiv.org arxiv.org
Abstract: Large language models (LLMs) have received much attention and shown their potential in digital health, while their application in mental health is subject to ongoing debate. This systematic review aims to summarize and characterize the use of LLMs in mental health by investigating the strengths and limitations of the latest work in LLMs and discusses the challenges and opportunities for early screening, digital interventions, and other clinical applications in mental health. Following PRISMA guidelines, we …
abstract application arxiv attention cs.ai cs.cl cs.cy digital digital health health language language model language models large language large language model large language models llms mental health review type
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