Artificial Intelligence in Behavioral and Mental Healthcare, Second Edition, focuses on modern developments in AI and their specific application in mental health practice and research. AI technologies are transforming how mental and behavioral health care is provided and conducted. This updated edition summarizes recent advances in artificial intelligence in mental health clinical practice and research. Each chapter provides a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and use limitations. New to this edition are chapters on topics such as machine learning in clinical and research settings, workflow efficiency through task automation, and how AI can be used to aid in precision health and medicine. This book will be helpful to mental health practitioners interested in learning about or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. This book helps solve the problem of disparate, non-specific, or overgeneralized information by consolidating need-to-know information in one comprehensive reference volume specific to behavioral and mental health.
1. Chapter 1. An introduction to artificial intelligence in behavioral and mental healthcare - p. 1 2. Chapter 2. Artificial intelligence applications in clinical decision-making and mental healthcare consultation - p. 35 3. Chapter 3. Conversational agents and virtual humans for healthcare information support and clinical interviewing - p. 71 4. Chapter 4. The evolution of virtual human agents in clinical virtual reality: from birth to late-stage adolescence - p. 127 5. Chapter 5. Affect and mental state detection for mental health care - p. 189 6. Chapter 6. Intelligent mobile, wearable, and ambient technologies for behavioral healthcare - p. 235 7. Chapter 7. Artificial intelligence analytics for diagnosis, prognosis, and outcomes prediction - p. 263 8. Chapter 8. Robots for behavioral and mental healthcare: challenges and opportunities - p. 311 9. Chapter 9. Advances in artificial intelligence for public health surveillance - p. 329 10. Chapter 10. Advancing mental health research with artificial intelligence - p. 359 11. Chapter 11. User experience and ethical design for AI-driven behavioral health technologies - p. 399 12. Chapter 12. Ethical issues and artificial intelligence technologies in behavioral and mental health care - p. 427 13. Glossary - p. 459 14. Index - p. 465
Artificial Intelligence in Behavioral and Mental Healthcare, Second Edition, focuses on modern developments in AI and their specific application in mental health practice and research. AI technologies are transforming how mental and behavioral health care is provided and conducted. This updated edition summarizes recent advances in artificial intelligence in mental health clinical practice and research. Each chapter provides a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and use limitations. New to this edition are chapters on topics such as machine learning in clinical and research settings, workflow efficiency through task automation, and how AI can be used to aid in precision health and medicine. This book will be helpful to mental health practitioners interested in learning about or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. This book helps solve the problem of disparate, non-specific, or overgeneralized information by consolidating need-to-know information in one comprehensive reference volume specific to behavioral and mental health.
1. Chapter 1. An introduction to artificial intelligence in behavioral and mental healthcare - p. 1 2. Chapter 2. Artificial intelligence applications in clinical decision-making and mental healthcare consultation - p. 35 3. Chapter 3. Conversational agents and virtual humans for healthcare information support and clinical interviewing - p. 71 4. Chapter 4. The evolution of virtual human agents in clinical virtual reality: from birth to late-stage adolescence - p. 127 5. Chapter 5. Affect and mental state detection for mental health care - p. 189 6. Chapter 6. Intelligent mobile, wearable, and ambient technologies for behavioral healthcare - p. 235 7. Chapter 7. Artificial intelligence analytics for diagnosis, prognosis, and outcomes prediction - p. 263 8. Chapter 8. Robots for behavioral and mental healthcare: challenges and opportunities - p. 311 9. Chapter 9. Advances in artificial intelligence for public health surveillance - p. 329 10. Chapter 10. Advancing mental health research with artificial intelligence - p. 359 11. Chapter 11. User experience and ethical design for AI-driven behavioral health technologies - p. 399 12. Chapter 12. Ethical issues and artificial intelligence technologies in behavioral and mental health care - p. 427 13. Glossary - p. 459 14. Index - p. 465
