This research examines how large language models (LLMs) can address the global mental health crisis by providing accessible, personalized therapeutic interventions.

Key findings:

• LLMs enhance the assessment, diagnosis, and treatment of mental health conditions through dynamic interactions
• AI systems can support symptom detection and severity estimation in mental health conditions
• LLMs offer potential for scalable access to mental health support in underserved areas
• The technology provides consistent therapeutic interactions while raising important ethical considerations

For healthcare organizations, this represents a significant opportunity to expand mental health services, reduce provider burnout, and reach patients who might otherwise lack access to quality care.

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions