Integrating AI in Psychological and Mental Health Care : Techniques, Applications, and Ethical Considerations / Kautish, Sandeep (EDT)/ Gupta, Shelly (EDT)/ Juneja, Sapna (EDT)

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Integrating AI in Psychological and Mental Health Care : Techniques, Applications, and Ethical Considerations

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Integrating AI in Psychological and Mental Health Care : Techniques, Applications, and Ethical Considerations

Kautish, Sandeep (EDT)/ Gupta, Shelly (EDT)/ Juneja, Sapna (EDT)

ウェブストア価格 ¥37,508（本体¥34,099）
Academic Press Inc（2026/03発売）
外貨定価 US$ 180.00
ポイント 340pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 350 p.
言語 ENG
商品コード 9780443414954

Full Description

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.

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