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Artificial Intelligence in Behavioral and Mental Health Care
- 1st Edition - September 10, 2015
- Editor: David D. Luxton
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 4 2 0 2 4 8 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 0 7 9 2 - 1
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter p… Read more
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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
Clinical practitioners, developers of AI technologies (AI scientists, programmers, engineers, etc.). Researchers in human-computer interaction.
- List of Contributors
- About the Editor
- Preface
- Chapter 1. An Introduction to Artificial Intelligence in Behavioral and Mental Health Care
- Introduction and Overview
- Key Concepts and Technologies
- Benefits of AI for Behavioral and Mental Health Care
- Additional Considerations
- Conclusion
- References
- Additional Resources
- Chapter 2. Expert Systems in Mental Health Care: AI Applications in Decision-Making and Consultation
- Introduction
- The History – Expert Systems and Clinical Artificial Intelligence in Health Care
- The Present – Dynamical Approaches to Clinical AI and Expert Systems
- Technology-Enhanced Clinicians
- Summary of Dynamical Approaches for Clinical AI
- The Future
- Conclusion
- References
- Chapter 3. Autonomous Virtual Human Agents for Healthcare Information Support and Clinical Interviewing
- Introduction
- The Rationale and Brief History of the Clinical Use of VHs
- Use Cases: SimCoach and SimSensei
- Comparative Evaluation Across Interviews: Face-To-Face, WoZ, and Automatic Interaction with the SimSensei VH Agent
- Conclusions
- References
- Chapter 4. Virtual Affective Agents and Therapeutic Games
- Introduction
- Brief History of Virtual Affective Agents and Serious Games
- State of the Art
- Applicable Ethical and Privacy Considerations
- Future Prospects
- Conclusions
- References
- Chapter 5. Automated Mental State Detection for Mental Health Care
- Introduction
- Theoretical and Technical Foundation
- Example Systems
- Concluding Remarks
- Acknowledgments
- References
- Chapter 6. Intelligent Mobile, Wearable, and Ambient Technologies for Behavioral Health Care
- Introduction
- Intelligent Capabilities for Mobile Health
- Overview of AmI
- Design Recommendations
- Conclusion
- References
- Chapter 7. Artificial Intelligence and Human Behavior Modeling and Simulation for Mental Health Conditions
- Introduction
- Background
- History of ABMS in Medicine/Mental Health Care
- Synergies with Other Industries
- Sociological Inputs into Multi-Tiered ABMS
- A Toolbox for Multi-Layer Modeling of Social Systems
- Data and Privacy Constraints for ABMS in Mental Health Modeling Applications
- Example Application
- Future Prospects
- Conclusion
- Acknowledgments
- References
- Chapter 8. Robotics Technology in Mental Health Care
- Introduction
- Conclusion
- Acknowledgment
- References
- Chapter 9. Public Health Surveillance: Predictive Analytics and Big Data
- Introduction
- The Current State of Informatics
- Overview of Recent Applications
- Results
- Larger Cohorts (Current Work)
- Impact
- Applicable Ethical Considerations
- Future Prospects in the Topic Area
- Conclusion
- References
- Chapter 10. Artificial Intelligence in Public Health Surveillance and Research
- Introduction
- Conclusion
- References
- Chapter 11. Ethical Issues and Artificial Intelligence Technologies in Behavioral and Mental Health Care
- Introduction
- Overview of Ethics Codes and Ethical Behavior in Health Care
- Particular Ethics Challenges
- Design and Testing Recommendations
- Conclusion
- References
- Glossary
- Index
- No. of pages: 308
- Language: English
- Edition: 1
- Published: September 10, 2015
- Imprint: Academic Press
- Hardback ISBN: 9780124202481
- eBook ISBN: 9780128007921
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.
Affiliations and expertise
Naval Health Research Center, San Diego, CA, USA and Affiliate Associate Professor, University of Washington School of Medicine, Seattle, WA, USARead Artificial Intelligence in Behavioral and Mental Health Care on ScienceDirect