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Artificial Intelligence in Behavioral and Mental Health Care [Hardback]

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Edited by (Naval Health Research Center, San Diego, CA, USA and Affiliate Associate Professor, University of Washington School of Medicine, Seattle, WA, USA)
  • Formāts: Hardback, 308 pages, height x width: 229x152 mm, weight: 630 g
  • Izdošanas datums: 02-Oct-2015
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0124202489
  • ISBN-13: 9780124202481
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Artificial Intelligence in Behavioral and Mental Health CarePalielināt
  • Formāts: Hardback, 308 pages, height x width: 229x152 mm, weight: 630 g
  • Izdošanas datums: 02-Oct-2015
  • Izdevniecība: Academic Press Inc
  • ISBN-10: 0124202489
  • ISBN-13: 9780124202481
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9780124202481.html
Keywords:
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 practiceIncludes advances in AI based decision-making and consultationDescribes AI applications for assessment and treatmentDetails AI advances in robots for clinical settingsProvides empirical data on clinical efficacyExplores practical issues of use in clinical settings

Papildus informācija

This book provides a comprehensive review of artificial intelligence applications to clinical practice, with each chapter presenting a technical description of the advance, a review of application in clinical practice, and empirical data on clinical efficacy.
List of Contributors ix
About the Editor xi
Preface xiii
1 An Introduction to Artificial Intelligence in Behavioral and Mental Health Care 1(26)
David D. Luxton
Introduction and Overview
1(1)
Key Concepts and Technologies
2(13)
Benefits of Al for Behavioral and Mental Health Care
15(2)
Additional Considerations
17(2)
Conclusion
19(2)
References
21(4)
Additional Resources
25(2)
2 Expert Systems in Mental Health Care: Al Applications in Decision-Making and Consultation 27(26)
Casey C. Bennett
Thomas W. Doub
Introduction
27(1)
The History — Expert Systems and Clinical Artificial Intelligence in Health Care
28(4)
The Present — Dynamical Approaches to Clinical Al and Expert Systems
32(5)
Technology-Enhanced Clinicians
37(1)
Summary of Dynamical Approaches for Clinical Al
38(1)
The Future
39(7)
Conclusion
46(1)
References
47(6)
3 Autonomous Virtual Human Agents for Healthcare Information Support and Clinical Interviewing 53(28)
Albert Rizzo
Russell Shilling
Eric Forbell
Stefan Scherer
Jonathan Gratch
Louis-Philippe Morency
Introduction
53(2)
The Rationale and Brief History of the Clinical Use of VHs
55(4)
Use Cases: SimCoach and SimSensei
59(11)
Comparative Evaluation Across Interviews: Face-To-Face, WoZ, and Automatic Interaction with the SimSensei VH Agent
70(4)
Conclusions
74(1)
References
75(6)
4 Virtual Affective Agents and Therapeutic Games 81(36)
Eva Hudlicka
Introduction
81(3)
Brief History of Virtual Affective Agents and Serious Games
84(4)
State of the Art
88(16)
Applicable Ethical and Privacy Considerations
104(3)
Future Prospects
107(4)
Conclusions
111(1)
References
111(6)
5 Automated Mental State Detection for Mental Health Care 117(20)
Sidney K. D'Mello
Introduction
117(2)
Theoretical and Technical Foundation
119(3)
Example Systems
122(9)
Concluding Remarks
131(1)
Acknowledgments
132(1)
References
132(5)
6 Intelligent Mobile, Wearable, and Ambient Technologies for Behavioral Health Care 137(26)
David D. Luxton
Jennifer D. June
Akane Sano
Timothy Bickmore
Introduction
137(2)
Intelligent Capabilities for Mobile Health
139(11)
Overview of Aml
150(2)
Design Recommendations
152(4)
Conclusion
156(1)
References
157(6)
7 Artificial Intelligence and Human Behavior Modeling and Simulation for Mental Health Conditions 163(22)
Barry G. Silverman
Nancy Hanrahan
Lina Huang
Emilia Flores Rabinowitz
Samuel Lim
Introduction
163(1)
Background
163(3)
History of ABMS in Medicine/Mental Health Care
166(1)
Synergies with Other Industries
167(1)
Sociological Inputs into Multi-Tiered ABMS
167(2)
A Toolbox for Multi-Layer Modeling of Social Systems
169(6)
Data and Privacy Constraints for ABMS in Mental Health Modeling Applications
175(2)
Example Application
177(3)
Future Prospects
180(1)
Conclusion
181(1)
Acknowledgments
181(1)
References
182(3)
8 Robotics Technology in Mental Health Care 185(20)
Laurel D. Riek
Introduction
185(14)
Conclusion
199(1)
Acknowledgment
200(1)
References
200(5)
9 Public Health Surveillance: Predictive Analytics and Big Data 205(26)
Chris Poulin
Paul Thompson
Craig Bryan
Introduction
205(1)
The Current State of Informatics
206(1)
Overview of Recent Applications
206(9)
Results
215(3)
Larger Cohorts (Current Work)
218(2)
Impact
220(2)
Applicable Ethical Considerations
222(2)
Future Prospects in the Topic Area
224(4)
Conclusion
228(1)
References
228(3)
10 Artificial Intelligence in Public Health Surveillance and Research 231(24)
Yair Neuman
Introduction
231(20)
Conclusion
251(1)
References
252(3)
11 Ethical Issues and Artificial Intelligence Technologies in Behavioral and Mental Health Care 255(22)
David D. Luxton
Susan Leigh Anderson
Michael Anderson
Introduction
255(1)
Overview of Ethics Codes and Ethical Behavior in Health Care
256(5)
Particular Ethics Challenges
261(9)
Design and Testing Recommendations
270(4)
Conclusion
274(1)
References
275(2)
Glossary 277(4)
Index 281
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.