Psychiatry and Technology

1. Auflage 2026
ISBN: 978-1-394-42963-9
Verlag: Wiley

Buch, Englisch, 288 Seiten

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.

Autoren/Hrsg.

Devadas, Raghavendra M.

Hiremani, Vani

Preethi, P.

Gujjar, Praveen

R., Sapna

Shettar, Manoj

Fachgebiete

• Sozialwissenschaften Psychologie Psychotherapie / Klinische Psychologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Psychiatrie, Sozialpsychiatrie, Suchttherapie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Preface xiii

1 AI-Driven Innovations in Digital Psychiatry and Mental Health Ecosystems 1
Ameer Asra Ahmed, Vinish P. and Harold Andrew Patrick

2 The Ethics of Digital Psychiatry: Balancing Autonomy, Privacy, and Technological Intervention 29
Sooraj Kumar Maurya

3 Big Data Analytics and Predictive Analytics in Psychiatry: Transforming Mental Healthcare 55
Gujanatti Rudrappa, Sushant Jadhav, Arun Tigadi and Sachin Urabinahatti

4 Effectiveness of Tele–Mental Health Services Provided by the Mental Health Professionals 91
Devyani Todi

5 Therapeutic Alliance and Effectiveness of Digital Mental Health Interventions 115
Mihna A. Arakkal and M. Rejoyson Thangal

6 Future Directions: Toward a Digital Mental Health Ecosystem 161
Vinoth Kumar S., Anand Bharathi S., S. Rajamohan and D. Unika

7 Digital Psychiatry: Foundations and Innovations Driving the PsyTech Revolution in Mental Healthcare 195
Galiveeti Poornima, Sukruth Gowda M.A. and Y. Mohamadi Begum

Bibliography 243
Index 255

Über Autor(innen)

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.