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Cognitive Behavioral Therapy (CBT) is a widely accepted and effective treatment for various mental health disorders, yet access to traditional therapy remains limited by logistical, financial, and resource constraints. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into CBT offers innovative solutions to these challenges by enabling personalized, scalable, and accessible mental health interventions. This review explores how AI and ML technologies are transforming CBT through applications such as virtual therapists, adaptive treatment plans, predictive analytics, and emotion recognition. It also addresses the key benefits-such as increased accessibility, cost-effectiveness, and consistency-as well as ethical challenges, including data privacy, algorithmic bias, and the limitations of automated empathy. Looking ahead, AI-powered CBT is poised to reshape mental health care by complementing human therapists and supporting proactive, real-time mental wellness solutions. A balanced, ethically guided approach will be essential to maximize benefits while minimizing risks.
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