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Integrating AI, Extended Reality, and Wearable Sensors in Mental Healthcare

Richard Lamb

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Paperback

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English
Medical Information Science Reference
30 April 2026
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.
By:  
Imprint:   Medical Information Science Reference
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 29mm
Weight:   971g
ISBN:   9798337349985
Pages:   566
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Richard Lamb , Ph.D. is a faculty member in both the Department of Physiology and Pharmacology and the Department of Clinical and Administrative Pharmacy at the University of Georgia, where he holds appointments in the College of Pharmacy and the College of Veterinary Medicine. He currently serves as the Director of the Neurocognition Science Laboratory. Dr. Lamb earned his Ph.D. in Science Education and Measurement from the College of Education and Human Development at George Mason University in 2013. His interdisciplinary research integrates psychophysiological measurement, artificial intelligence, and emerging technologies—including virtual and synthetic environments—to support clinical mental health treatment, assess mental status, and explore socioemotional health across pediatric, adult, and geriatric populations. A second focus of his work involves identifying cognitive and physiological markers for mental health treatment to enhance the efficacy and efficiency related to information processing, decision-making, and cognition in high-stress environments. His work also seeks to leverage advanced technologies such as machine learning and artificial intelligence, aiming to shape the biopsychosocial dimensions of learning and mental health, promoting wellbeing across the lifespan. He has received recognition for his research from organizations such as the Association for Child and Adolescent Mental Health and the Foundation for Health Leadership & Innovation and has been featured in various media outlets.

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