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1Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA.
Science (New York, N.Y.)
|July 16, 2026
Summary
Generative artificial intelligence (AI) can enhance the scalability of precision psychotherapy. This technology enables more personalized and effective evidence-based mental health treatments.
Area of Science:
- Digital Health
- Psychotherapy Research
- Artificial Intelligence in Medicine
Background:
- Precision psychotherapy aims to tailor treatments to individual patient needs.
- Scaling evidence-based interventions remains a challenge in mental healthcare delivery.
- Generative artificial intelligence (AI) offers novel approaches for personalized interventions.
Purpose of the Study:
- To explore the potential of generative AI in scaling precision evidence-based psychotherapy.
- To identify how AI can facilitate personalized therapeutic approaches.
- To assess the feasibility of AI-driven psychotherapeutic interventions.
Main Methods:
- Review of current generative AI capabilities relevant to psychotherapy.
- Analysis of frameworks for personalized evidence-based treatment.
- Conceptualization of AI-driven models for therapeutic scaling.
Main Results:
- Generative AI can automate and personalize aspects of evidence-based psychotherapy.
- AI tools show promise in adapting therapeutic content and delivery.
- The technology can potentially increase access to tailored mental health support.
Conclusions:
- Generative AI presents a significant opportunity to scale precision psychotherapy.
- AI integration can enhance treatment efficacy and patient accessibility.
- Further research is needed to validate AI-driven therapeutic models.
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