Confronting Mental Health Stigma with AI and Machine Learning
Language: English
Published by Wiley Aug 2026, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 243.87
Quantity: 2 available
Add to basketItem description from seller
Neuware - Be at the forefront of compassionate care with this crucial resource that bridges the gap between technology and human behavior, providing a comprehensive overview of AI-driven strategies to destigmatize mental health and enable empathetic, personalized care. Written for mental health professionals, AI researchers, policymakers, and advocates, this book bridges the gap between technology and human behavior. It provides a comprehensive overview of emerging AI-driven strategies to destigmatize mental health, using practical examples of real-world implementation and exploring cutting-edge applications of artificial intelligence and machine learning for raising awareness, improving access to mental health care, and fostering inclusivity. It highlights the innovative tools enabling more empathetic, personalized, and effective mental health interventions, focusing on breaking barriers and empowering individuals with actionable insights into how technology can transform mental health advocacy, diagnosis, and treatment. By addressing the societal, ethical, and technological dimensions of mental health care, it serves as a crucial resource for building stigma-free communities and fostering global well-being through the power of AI. This book is not just about technology-it is a call to action for a more inclusive and compassionate world. Readers will find this volume: - Explores cutting-edge AI and machine learning applications to dismantle mental health stigma and promote awareness; - Bridges psychology, technology, and social science for holistic mental health interventions; - Tackles mental health stigma with culturally diverse examples and scalable solutions; - Highlights emerging trends and ethical considerations for using AI for mental health advocacy; - Offers actionable strategies and AI-powered tools for mental health professionals, educators, and policymakers. Audience Academics, AI researchers, mental health professionals, and advocates at the intersection of technology and mental health.…
Seller Inventory # 9781394347261
- Title
- Confronting Mental Health Stigma with AI and Machine Learning
- Author
- Rohit Bansal
- Publisher
- Wiley Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 139434726X
- ISBN 13
- 9781394347261
- Item weight
- 739 grams
- Dimensions
- 231x155x30 mm
Be at the forefront of compassionate care with this crucial resource that bridges the gap between technology and human behavior, providing a comprehensive overview of AI-driven strategies to destigmatize mental health and enable empathetic, personalized care.
Written for mental health professionals, AI researchers, policymakers, and advocates, this book bridges the gap between technology and human behavior. It provides a comprehensive overview of emerging AI-driven strategies to destigmatize mental health, using practical examples of real-world implementation and exploring cutting-edge applications of artificial intelligence and machine learning for raising awareness, improving access to mental health care, and fostering inclusivity. It highlights the innovative tools enabling more empathetic, personalized, and effective mental health interventions, focusing on breaking barriers and empowering individuals with actionable insights into how technology can transform mental health advocacy, diagnosis, and treatment.
By addressing the societal, ethical, and technological dimensions of mental health care, it serves as a crucial resource for building stigma-free communities and fostering global well-being through the power of AI. This book is not just about technology―it is a call to action for a more inclusive and compassionate world.
Readers will find this volume:
- Explores cutting-edge AI and machine learning applications to dismantle mental health stigma and promote awareness;
- Bridges psychology, technology, and social science for holistic mental health interventions;
- Tackles mental health stigma with culturally diverse examples and scalable solutions;
- Highlights emerging trends and ethical considerations for using AI for mental health advocacy;
- Offers actionable strategies and AI-powered tools for mental health professionals, educators, and policymakers.
Audience
Academics, AI researchers, mental health professionals, and advocates at the intersection of technology and mental health.
"Synopsis" may belong to another edition of this title.
About the Author
Ridhima Sharma, PhD is an Assistant Professor of Management at the Vivekananda Institute of Professional Studies’ Technical Campus, Delhi, India with more than 12 years of research and teaching experience. She has contributed several articles to journals and conferences of repute and authored several books. Her research interests include customer relationship management, sustainable consumer behavior, mental health, and artificial intelligence.
Fazla Rabby, PhD is the Director at the Stanford Institute of Management and Technology in Sydney, Australia. He designs and delivers educational activities, assesses student progress, and contributes to curriculum development. His research focuses on blockchain, digital marketing, AI, mental health and well-being, and consumer behavior.
Rohit Bansal, PhD is a Professor in the Department of Management Studies at the Vaish College of Engineering, Rohtak, India. He has authored and edited 40 books, published 160 research papers and chapters in journals of repute, and presented papers at 60 conferences. His areas of interest include organizational behavior, marketing management, human resource management, digital marketing, mental health, and e-learning.
Timcy Sachdeva, PhD is an Assistant Professor at the Vivekananda Institute of Professional Studies at Technical Campus, Delhi, India, with more than 14 years of experience. She has several publications in international journals and conferences and has authored one book. She specializes in financial econometrics and modeling and AI.
Jihene Mrabet, PhD is an Assistant Professor and the Head of the Center of Research Excellence for Health and Wellbeing at Amity University, Dubai, UAE. She has published more than 15 articles in international journals and conferences. Her areas of research cover child and adolescent psychology, addiction, health psychology, psychopathology, and positive psychology.
"About the title" may belong to another edition of this title.
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