The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders

This systematic review explores the integration of machine learning (ML) with augmented reality (AR) and virtual reality (VR) technologies in cognitive therapies for mental health disorders. Analyzing 141 studies following PRISMA guidelines, the findings reveal that ML-driven AR/VR therapies offer significant advancements in personalization, real-time adaptation, and treatment efficacy. VR-based interventions demonstrate strong effectiveness in reducing symptoms of PTSD, anxiety disorders, and phobias, with ML algorithms—such as neural networks (NNs), supervised learning, and reinforcement learning (RL)—further optimizing therapy through predictive analytics and dynamic adjustments. These technologies enhance patient engagement, improve treatment adherence, and sustain therapeutic benefits for up to six months. This review highlights the transformative impact of ML-enhanced AR/VR therapies in delivering immersive, scalable, and highly personalized interventions, redefining the future of mental health treatment. As AI-powered therapeutic frameworks are poised to evolve further, such advancements have enormous potential to revolutionize cognitive therapies, enhancing their accessibility and optimizing patient outcomes worldwide.