DefinePK

Abstract

Background: Artificial intelligence (AI) is increasingly being integrated into mental health care, offering innovative solutions to address longstanding challenges in behavioral and cognitive therapy. With growing global demand for psychological services and limited access to qualified therapists, AI tools present a promising avenue for enhancing the delivery, engagement, and personalization of therapies such as Cognitive Behavioral Therapy (CBT).
Objective: This narrative review aims to explore the current applications of AI in behavioral and cognitive therapy, with a particular focus on its role in behavioral modification, CBT delivery, and patient engagement. The review synthesizes recent findings to evaluate the clinical utility, strengths, limitations, and future directions of AI-assisted psychological interventions.
Main Discussion Points: The review identifies key thematic trends, including the use of AI to enhance patient engagement, personalize therapeutic content, and augment therapist-led care. Chatbot-based interventions and adaptive feedback systems have demonstrated improved treatment adherence and clinical outcomes. However, issues such as limited long-term data, methodological variability, and restricted generalizability remain. The discussion also highlights ethical concerns and the need for standardized guidelines in clinical application.
Conclusion: AI has the potential to revolutionize behavioral and cognitive therapy by making interventions more accessible, scalable, and tailored. While current evidence supports its promise, further high-quality research is essential to validate long-term effectiveness and guide ethical implementation in diverse clinical settings.