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Protocol: Effectiveness of Artificial Intelligence-Based Psychotherapy in Treating Mental Disorders
Amit Kumar Soni1,2,3, Vinit Kumar Singh4, Mohit Kumar4
1Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Campbell Systematic Reviews
|June 12, 2026
Summary
This systematic review protocol assesses artificial intelligence (AI) psychotherapeutic interventions for mental disorders. It will analyze AI
Area of Science:
- Psychiatry and Mental Health
- Computer Science and Artificial Intelligence
- Evidence-Based Medicine
Background:
- Mental disorders represent a significant global health burden.
- Traditional psychotherapeutic interventions face challenges in accessibility and scalability.
- Emerging artificial intelligence (AI) technologies offer potential solutions for mental healthcare delivery.
Purpose of the Study:
- To systematically review the effectiveness of AI-based psychotherapeutic interventions for individuals diagnosed with mental disorders.
- To explore variations in intervention effectiveness based on country, AI architecture, therapeutic model, human therapist involvement, and diagnostic category.
Main Methods:
- This study is a protocol for a Campbell systematic review.
- The review will synthesize evidence from randomized controlled trials and other relevant study designs.
- Data extraction and quality assessment will follow established Cochrane guidelines.
Main Results:
- This section will report findings after the review is completed.
- Anticipated results include quantitative synthesis of intervention effects and qualitative analysis of moderating factors.
Conclusions:
- AI-based psychotherapeutic interventions show promise for improving mental health outcomes.
- Further research is needed to optimize AI interventions and understand their applicability across diverse populations and contexts.
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