Artificial Intelligence in Behavioral and Mental Health Care
- 2 Edición - 30 de julio de 2026
- Última edición
- Editor: David D. Luxton
- Idioma: Inglés
"Artificial Intelligence in Behavioral and Mental Healthcare", Second Edition, focuses on modern developments in AI and their specific application in mental health practice and… Leer más
Descripción
Descripción
"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.
Puntos claves
Puntos claves
- Includes new chapters on topics such as machine learning, precision medicine, and how to use AI for workflow efficiency
- Uses practical examples across diverse settings and clinical applications
- Emphasizes ethics, safety, and best practices that enable the reader to use or develop these technologies in optimal ways
- Offers a comprehensive overview of updated AI technologies and their applications to the field
- Delivers historical context, highlighting the current state of technologies
De interès para
De interès para
Researchers and clinicians involved with diagnosing and treating mental health in patients, and those interested in AI applications
Índice
Índice
1 An introduction to artificial intelligence in behavioral and mental healthcare
2 Artificial intelligence applications in clinical decision-making and mental healthcare consultation
3 Conversational agents and virtual humans for healthcare information support and clinical interviewing
4 The evolution of virtual human agents in clinical virtual reality: from birth to late-stage adolescence
5 Affect and mental state detection for mental health care
6 Intelligent mobile, wearable, and ambient technologies for behavioral healthcare
7 Artificial intelligence analytics for diagnosis, prognosis, and outcomes prediction
8 Robots for behavioral and mental healthcare: challenges and opportunities
9 Advances in artificial intelligence for public health surveillance
10 Advancing mental health research with artificial intelligence
11 User experience and ethical design for AI-driven behavioral health technologies
12 Ethical issues and artificial intelligence technologies in behavioral and mental health care
2 Artificial intelligence applications in clinical decision-making and mental healthcare consultation
3 Conversational agents and virtual humans for healthcare information support and clinical interviewing
4 The evolution of virtual human agents in clinical virtual reality: from birth to late-stage adolescence
5 Affect and mental state detection for mental health care
6 Intelligent mobile, wearable, and ambient technologies for behavioral healthcare
7 Artificial intelligence analytics for diagnosis, prognosis, and outcomes prediction
8 Robots for behavioral and mental healthcare: challenges and opportunities
9 Advances in artificial intelligence for public health surveillance
10 Advancing mental health research with artificial intelligence
11 User experience and ethical design for AI-driven behavioral health technologies
12 Ethical issues and artificial intelligence technologies in behavioral and mental health care
Detalles del producto
Detalles del producto
- Edición: 2
- Última edición
- Publicado: 31 de julio de 2026
- Idioma: Inglés
Sobre el editor
Sobre el editor
DL
David D. Luxton
David D. Luxton, Ph.D., M.S. is a Research Health Scientist at the Naval Health Research Center in San Diego California and an Affiliate Associate Professor in the Department of Psychiatry and Behavioral Sciences at the University of Washington School of Medicine in Seattle. He previously served as a Research Psychologist and Program Manager for the US Army and as a Secure Communications Systems Technician in the United States Air Force. Dr. Luxton's research and writing is focused in the areas of military and veterans’ health, telehealth, mobile health, artificial intelligence, and emergent technology applications in healthcare. He serves on various national committees and workgroups and he provides training and consultation regarding the use and development of technology in healthcare. He is a licensed clinical psychologist in the State of Washington.
Afiliaciones y experiencia
Naval Health Research Center, San Diego, CA, USA and Affiliate Associate Professor, University of Washington School of Medicine, Seattle, WA, USAVer libro en ScienceDirect
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