Gemini AI (Google)
Date of Review: April 26, 2026
Scope: Systematic evaluation of AI-driven conversational agents (CAs), generative AI (GenAI) chatbots, and predictive algorithms in the treatment of affective, obsessive-compulsive, and substance use disorders.
Abstract
Background: The scalability of mental health interventions is currently limited by human resource constraints. AI-driven psychotherapy has been proposed as a high-accessibility alternative.
Objectives: To quantify the efficacy of AI-driven psychotherapy across major clinical domains and evaluate the predictive accuracy of machine learning in treatment response.
Methods: Systematic search of five major databases (PubMed, PsycINFO, Embase, Cochrane Library, and Web of Science) for RCTs and meta-analyses published up to 2026.
Results: AI-driven interventions demonstrate moderate-to-large effects on depressive symptoms (Hedges g=0.61) and moderate effects on anxiety (Cohen’s d=0.62).1 GenAI systems such as Therabot show clinically significant symptom reductions in MDD (51%) and GAD (31%).
Conclusions: AI-driven psychotherapy is a valid intervention for mild-to-moderate symptoms, particularly when utilizing multimodal data and evidence-based protocols.
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