ISBN: 9781394347261 - confronting mental health stigma with ai and machine learning (14 Ergebnisse)

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Zustand: New. 2026. 1st Edition. hardcover. . . . . .

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Buch. Zustand: Neu. 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.…