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The integration of artificial intelligence (AI), extended reality (XR), and wearable sensors transform the landscape of mental healthcare by enabling more personalized, immersive, and data-driven approaches to diagnosis, treatment, and prevention. AI algorithms analyze behavioral and physiological data to detect early signs of mental health conditions, while wearable devices monitor heart rate, sleep patterns, and activity levels in real time. XR technologies offer innovative therapeutic environments for exposure therapy, stress reduction, and skills training. Together, these technologies enhance clinical decision-making, improve patient engagement, and expand access to care beyond traditional settings. Integrating AI, Extended Reality, and Wearable Sensors in Mental Healthcare explores the convergence of cutting-edge technologies in the assessment, treatment, and understanding of mental health. It examines how these tools reshape clinical practice, enabling real-time psychophysiological monitoring, adaptive interventions, and immersive therapeutic environments. This book covers topics such as psychology, wearable technology, and digital therapeutics, and is a useful resource for healthcare professionals, psychologists, engineers, academicians, researchers, and scientists.