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May 20, 2026Annual Review of Biomedical Data Science

Large Language Models in Mental Health Research and Treatment

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Authors

SMSteven MesquitiENErik C Nook

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Overview

Review analyzes how AI-driven language models can enhance mental health assessment and intervention, indicating challenges ahead.

Key Points

  • This review explores how large language models can improve mental health assessment and treatment.
  • Synthesis of recent applications of large language models in mental health care.
  • Analysis of language-based assessment methods, including digital phenotyping and electronic health records.
  • Discussion of current integrations of AI in psychotherapy.
  • Identified various applications of large language models in mental health, including assessment of psychopathology.
  • Outlined significant challenges, including biases and safety risks associated with AI in psychological treatment.
  • Proposed future directions for the equitable use of AI in mental health services.

Cite This Study

Mesquiti et al. (2026) studied this question.

synapsesocial.com/papers/6a0d4f7bf03e14405aa9abeehttps://doi.org/10.1146/annurev-biodatasci-092524-113527
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Also Consider

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  1. 1Artificial Intelligence in Mental Health Treatment and Research2025 · 1 citations
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