Psychiatry and Technology

Modernize your psychiatric practice with this comprehensive guide, which explores the transformative power of AI-powered therapy, virtual reality exposure therapy, and digital health technologies to create more accessible, personalized, and effective mental health interventions. Historically, psychiatry has relied on traditional face-to-face interactions, manual assessments, and pharmacological treatments. However, the advent of digital health technologies has begun to transform these conventional methods, offering new tools and approaches that promise to enhance the effectiveness, accessibility, and personalization of mental health care. From AI-powered therapy bots to virtual reality exposure therapy, this book will delve into the innovative ways technology is reshaping the field of psychiatry. With insightful discussions, case studies, and expert insights, this book will serve as a comprehensive guide to understanding the transformative power of technology in mental health care. Raghavendra M. Devadas, PhD is an Assistant Professor at the Manipal Institute of Technology at the Manipal Academy of Higher Education. He has edited two books, filed two patents, and received two grants. His areas of interest include machine learning, software engineering, fuzzy logic, and databases. Vani Hiremani, PhD is an Assistant Professor at the Symbiosis Institute of Technology with more than 15 years of experience. Her work spans high-impact publications, patents, and books in AI-driven applications. Her research specializes in computer vision, deep learning, AI, and machine learning. Preethi, PhD is as an Assistant Professor in the Department of Information Technology at the Manipal Institute of Technology with more than 17 years of teaching experience. She has more than 35 publications in international journals and conferences of repute. Her research interests include computer architecture, IoT, cybersecurity, and image processing. Praveen Gujjar, PhD is an Associate Professor and Area Head of Business Analytics in the CMS Business School at Jain University with more than 16 years of teaching experience. He has authored numerous publications in reputed journals, holds 86 patents, and has secured major research grants from multiple entities. He specializes in data visualization, predictive analytics, and prescriptive analytics. Sapna R., PhD is an Assistant Professor in the Manipal Institute of Technology. She has published more than 60 research articles in international journals and conferences of repute. Her areas of interest include machine learning, semantic web, image processing, and IoT. Manoj Shettar, PhD is an Associate Professor in the Department of Psychiatry at the Sri Dharmasthala Manjunatheshwara College of Medical Sciences and Hospital and a compassionate psychiatrist with more than eight years of clinical, teaching, and research experience. He is actively involved in undergraduate and postgraduate teaching, with a strong emphasis on diagnosis, therapy, and patient management.