Integrating AI in Psychological and Mental Health Care
Techniques, Applications, and Ethical Considerations
- 1st Edition - March 1, 2026
- Imprint: Academic Press
- Editors: Sandeep Kautish, Shelly Gupta, Sapna Juneja, Valentina Emilia Balas, Dana Rad
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 9 5 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 4 1 4 9 6 - 1
Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, provid… Read more
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Integrating AI in Psychological and Mental Health Care: Techniques, Applications, and Ethical Considerations introduces key concepts and the historical evolution of AI, providing a foundation for understanding its applications in mental health. The content delves into various aspects of AI, including diagnostic tools, machine learning algorithms, and natural language processing, highlighting their roles in enhancing therapeutic outcomes and improving patient care. The discussion encompasses significant mental health conditions such as anxiety, depression, and severe psychological disorders, showcasing how AI technologies can assist in diagnosis, treatment planning, and monitoring. Ethical considerations and privacy issues are critically examined, ensuring a balanced perspective on the benefits and challenges associated with AI-driven interventions. Practical applications, such as virtual psychotherapists and AI-enhanced cognitive behavioral therapy, illustrate real-world implementations and their impact on patient care. Additionally, case studies provide insights into successful AI applications in mental health settings, enhancing understanding of the potential advantages and obstacles involved.
- Provides an in-depth examination of how artificial intelligence is integrated into psychological and mental health care, covering various technologies such as diagnostic tools, machine learning algorithms, and natural language processing
- Illustrates how AI technologies are being successfully implemented in mental health settings by including real-world examples and case studies
- Addresses the ethical implications of using AI in mental health, including privacy concerns and the responsibilities of practitioners
Researchers and Practitioners in Biomedical Engineering, Data Science Engineering, and Computer Science
1. Introduction to AI in Psychological and Mental Health Care
2. The Evolution of AI in Mental Health: A Historical Perspective
3. Using AI for Mental Health Monitoring and Data Collection
4. AI-Based Diagnostic Tools for Mental Health Disorders
5. Machine Learning Algorithms for Predicting Mental Health Outcomes
6. Natural Language Processing in Mental Health Interventions
7. AI in Personalized Treatment Plans for Mental Health
8. The Role of AI in Managing Anxiety and Depression
9. AI in Suicide Prevention and Crisis Intervention
10. AI in Substance Abuse and Addiction Treatment
11. AI Applications in Child and Adolescent Mental Health
12. Virtual psychotherapists and AI-Driven Counselling
13. AI and the Treatment of Severe Mental Illnesses
14. AI-Enhanced Cognitive Behavioural Therapy (CBT)
15. AI and Neuro feedback for Mental Health
16. Privacy and Security in AI-Based Mental Health Applications
17. Ethical Considerations in AI for Mental Health
18. Case Studies of AI Applications in Mental Health
19. The Future of AI in Mental Health Research and Practice
20. Implementing AI Solutions in Clinical Practice: Challenges and Opportunities
2. The Evolution of AI in Mental Health: A Historical Perspective
3. Using AI for Mental Health Monitoring and Data Collection
4. AI-Based Diagnostic Tools for Mental Health Disorders
5. Machine Learning Algorithms for Predicting Mental Health Outcomes
6. Natural Language Processing in Mental Health Interventions
7. AI in Personalized Treatment Plans for Mental Health
8. The Role of AI in Managing Anxiety and Depression
9. AI in Suicide Prevention and Crisis Intervention
10. AI in Substance Abuse and Addiction Treatment
11. AI Applications in Child and Adolescent Mental Health
12. Virtual psychotherapists and AI-Driven Counselling
13. AI and the Treatment of Severe Mental Illnesses
14. AI-Enhanced Cognitive Behavioural Therapy (CBT)
15. AI and Neuro feedback for Mental Health
16. Privacy and Security in AI-Based Mental Health Applications
17. Ethical Considerations in AI for Mental Health
18. Case Studies of AI Applications in Mental Health
19. The Future of AI in Mental Health Research and Practice
20. Implementing AI Solutions in Clinical Practice: Challenges and Opportunities
- Edition: 1
- Published: March 1, 2026
- Imprint: Academic Press
- Language: English
SK
Sandeep Kautish
Sandeep Kautish, PhD is Professor and Director at Apex Institute of Technology (AIT-CSE), Chandigarh University, Punjab India and an academician by choice and has more than 20 years of full-time experience in teaching and research. He has been associated with Asia Pacific University Malaysia for over five years at their TNE site at Kathmandu Nepal in the capacity of Director-Academics. He earned his doctorate degree in Computer Science on Intelligent Systems in Social Networks. He has over 100 publications and his research works have been published in highly reputed journals, i.e., IEEE Transaction of Industrial Informatics, IEEE Access, and Multimedia Tools and Applications, etc. Dr. Kautish has edited 24 books with leading publishers, i.e., Elsevier, Springer, Emerald, and IGI Global, and is an editorial member/reviewer of various reputed journals. His research interests include healthcare analytics, business analytics, machine learning, data mining, and information systems.
Affiliations and expertise
Professor and Director, Apex Institute of Technology (AIT - CSE), Chandigarh University, Punjab, IndiaSG
Shelly Gupta
Dr. Shelly Gupta is currently working as an Assistant Professor with the Department of CSE (AI) KIET Group of Institutions, Ghaziabad, India. She has done her Bachelor of Technology in Information Technology and Master of technology in the specialization of Computer Science and Engineering and PhD in Computer Science and Engineering. She has published more than 25 research papers in various national and international journals and conferences. She has 2 granted patents on her name. She has also done 2 book publications one as a monograph and another is a textbook. Her main research interests are in the areas of Data Analytics, Machine learning and Artificial Intelligence. She has been awarded with Best Researcher award during her services in 2022. She has teaching and research experience of more than 10 years.
Affiliations and expertise
Assistant Professor, Department of CSE (AI) KIET Group of Institutions, Ghaziabad, IndiaSJ
Sapna Juneja
Dr. Sapna Juneja received her master’s and Ph.D. degrees in computer science and engineering from M.D. University, Rohtak, in 2018 and 2010, respectively. She is currently working as a Professor and Associate Dean (R & D) with the Department of CSE (AI) KIET Group of Institutions, Ghaziabad, India. She has more than 19 years of teaching experience. Her topic of research is Software Reliability of Embedded System. She has published six patents. She has published various research articles in the renowned national and international journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence. She has guided several research thesis of UG and PG students in computer science and engineering. She is a reviewer of several international journals of repute.
Affiliations and expertise
Professor and Associate Dean (R & D) with the Department of CSE (AI) KIET Group of Institutions, Ghaziabad, IndiaVE
Valentina Emilia Balas
Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.
Affiliations and expertise
Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, RomaniaDR
Dana Rad
Dana Rad is an associate professor in the Faculty of Educational Sciences, Psychology and Social Sciences at Aurel Vlaicu University of Arad, Romania. She is Head of Center of Research Development and Innovation in Psychology. She holds a double specialization in Psychology (PhD in Applied Cognitive Psychology) and Systems Engineering (PhD student in Systems Engineering). She was a Visiting Professor at University of Oviedo, Spain and research scientist in more than 20 European Union funded projects. Her research interests include: Applied Cognitive Sciences, Cognitive Systems Engineering, Systems theory, Artificial Intelligence and mathematical modelling in Psychology, Organizational Psychology, Digital Wellbeing and Polygraph testing She is coauthor of 20 books and more than 200 international conferences and journal papers. She is a member of IANLP, IACAT, IAENG, COPSI and APA. Dr. Dana Rad is registered as autonomous psychologist with the right to practice in the specializations: clinical psychology, educational psychology, school and vocational counseling, work and organizational psychology and forensic psychology polygraph examiner.
Affiliations and expertise
Associate Professor, Faculty of Educational Sciences, Psychology and Social Sciences, Aurel Vlaicu University of Arad, Romania