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Artificial Intelligence to Support Human-Provided Mental Health Treatment.
Christina S Soma1, Patty B Kuo2, Maitrey Mehta3
1Lyssn.io, Seattle, Washington, USA;
Annual Review of Clinical Psychology
|February 10, 2026
Summary
Artificial intelligence (AI) offers promising tools to enhance mental healthcare quality and accessibility. Thoughtful integration of AI with human providers is key to overcoming challenges like bias and privacy concerns.
Area of Science:
- Mental Health
- Artificial Intelligence
- Healthcare Technology
Background:
- Mental health disorders represent a significant global disease burden.
- Healthcare systems face challenges in delivering scalable, high-quality mental healthcare.
- Artificial intelligence (AI) presents a significant technological advancement in mental healthcare.
Purpose of the Study:
- To review research on the use of AI in mental health treatment.
- To examine AI's role as a complement to, not a replacement for, human providers.
- To understand the potential and limitations of AI in mental healthcare.
Main Methods:
- Literature review of AI applications in mental health.
- Analysis of AI model development and evaluation for clinical tasks.
- Examination of AI's impact on treatment quality, training, and documentation.
Main Results:
- AI models are used for treatment identification, quality rating, monitoring, training, documentation, and client support.
- AI shows potential in addressing workforce shortages and improving care quality.
- Algorithmic biases and patient data privacy are significant limitations.
Conclusions:
- AI can enhance mental healthcare but requires careful implementation.
- Successful integration necessitates AI complementing human providers.
- Addressing ethical concerns and biases is crucial for AI adoption in mental health.
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