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Artificial Intelligence in Behavioral and Mental Health Care

  • ID: 3336034
  • Book
  • 308 Pages
  • Elsevier Science and Technology
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Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, 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 limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering.

This book will be of use 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.

- Summarizes AI advances for use in mental health practice- Includes advances in AI based decision-making and consultation- Describes AI applications for assessment and treatment- Details AI advances in robots for clinical settings- Provides empirical data on clinical efficacy- Explores practical issues of use in clinical settings

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Chapter 1
an Introduction to Artificial Intelligence in Behavioral and Mental Health Care David D. Luxton

Chapter 2
Expert Systems in Mental Health Care: AI Applications in Decision-Making and Consultation Casey C. Bennett and Thomas W. Doub

Chapter 3
Autonomous Virtual Human Agents for Healthcare Information Support and Clinical Interviewing Albert Rizzo, Russell Shilling, Eric Forbell, Stefan Scherer, Jonathan Gratch and Louis-Philippe Morency

Chapter 4
Virtual Affective Agents and Therapeutic Games Eva Hudlicka

Chapter 5
Automated Mental State Detection for Mental Health Care Sidney K. D'Mello

Chapter 6
Intelligent Mobile, Wearable, and Ambient Technologies for Behavioral Health Care David D. Luxton, Jennifer D. June, Akane Sano and Timothy Bickmore

Chapter 7
Artificial Intelligence and Human Behavior Modeling and Simulation for Mental Health Conditions Barry G. Silverman, Nancy Hanrahan, Lina Huang, Emilia Flores Rabinowitz and Samuel Lim

Chapter 8
Robotics Technology in Mental Health Care Laurel D. Riek

Chapter 9
Public Health Surveillance: Predictive analytics and Big Data Chris Poulin, Paul Thompson and Craig Bryan

Chapter 10
Artificial Intelligence in Public Health Surveillance and Research Yair Neuman

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Luxton, David D.
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.
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