Revolutionizing Youth Mental Health with AI
Exploring AI and its Application in Transforming Youth Mental Health

By (author) Sharmistha Chatterjee,Azadeh Dindarian,Usha Rengaraju

ISBN13: 9798868811852

Imprint: APress

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Format: Paperback / softback

Published: 10/11/2025

Availability: Not yet available

Description
This book is your comprehensive guide into the dynamic intersection of artificial intelligence (AI) and youth mental health. It aims to bridge the gap between cutting-edge AI technology and its transformative potential in addressing youth mental health challenges.   The book's content is structured into three key parts, each focusing on different facets of AI applications in youth mental health. The first part provides a comprehensive background on the current state of youth mental health, analyzing the prevalence of mental health issues and identifying the unique challenges faced by the digital generation. In the second part, we explore the foundational principles of AI and its potential for revolutionizing mental health care, including natural language processing, machine learning, and predictive analytics. In this section, you will find in-depth case studies and real-world applications that showcase how AI-driven interventions have already transformed mental health care for youth across diverse contexts. Finally, the third part delves into ethical considerations, fairness, privacy concerns, and the responsible integration of AI in youth mental health care to design long-term sustainable solutions.   This book offers a unique and holistic perspective, making it an indispensable resource for anyone passionate about leveraging AI for the betterment of youth mental health. Through this book, you will gain the knowledge and tools needed to design and implement effective AI-driven solutions that have the potential to transform the mental health landscape for the benefit of future generations.   What You Will Learn Understand the current state of youth mental health, exploring the prevalence of mental health issues among the digital generation Understand natural language processing, machine learning, and predictive analytics Know how AI interventions are already transforming mental health care for youth in diverse contexts Be aware of fairness, privacy concerns, and the responsible integration of AI in youth mental health care Get familiar with the role of GenAI in the mental health domain and how AI agents can be a game-changer   Who This Book Is For To equip academics and researchers in the AI, computer science, and digital mental health domain as well as AI application developers with a deeper understanding of how AI-powered innovations can enhance the well-being of youth; and innovation managers and policymakers who are interested in exploring the AI use cases
​Chapter 1: Current State of Mental Well-being of Youth.- Chapter 2: The Silent Crisis: Societal Implications of Youth Mental Health Challenges.- Chapter 3: Mindful Sustainability: The Crucial Role of Mental Health in Global Sustainability.- Chapter 4: Empowering Mental Well-being through Data-driven Insights.- Chapter 5: Capturing and Linking Data Systems Using Digital Technology to Redesign Youth Mental Health 360 Services.- Chapter 6: Preserving Data Privacy In Mental Health Care: - Chapter 7: AI Models from Human-Computer Interaction Textual Data Recorded to Predict Mental Distress in Youth.- Chapter 8: AI Models from Human-Computer Interaction Speech and Video Data Recorded to Predict Mental Distress in Youth.- Chapter 9: AI Models For Detecting Different Types and Levels of Associated Risk.- Chapter 10: AI-Powered Recommendations: Enhancing Access to Mental Healthcare Assistance Programs.- Chapter 11: Towards a Responsible and Trustworthy AI System: Navigating Current Challenges and Pathways.- Chapter 12: Generative AI in Mental Well-being: Balancing Pros and Cons.- Chapter 13: Concluding Thoughts: Evaluating Benefits Provided by a Universal Teenage Mental Health Platform.
  • Artificial intelligence
  • Machine learning
  • Professional & Vocational
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List Price: £49.99