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Navigating AI in mental health careinnovations, ethics, and future trends /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Navigating AI in mental health careby Susmita Halder, Bibhrajit Halder, Akash Kumar Mahato.
其他題名:	innovations, ethics, and future trends /
作者:	Halder, Susmita.
其他作者:	Halder, Bibhrajit.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xvii, 202 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mental health servicesTechnological innovations.
電子資源:	https://doi.org/10.1007/978-981-96-9744-1
ISBN:	9789819697441$q(electronic bk.)

Navigating AI in mental health careinnovations, ethics, and future trends /
Halder, Susmita.

Navigating AI in mental health careinnovations, ethics, and future trends /[electronic resource] :by Susmita Halder, Bibhrajit Halder, Akash Kumar Mahato. - Singapore :Springer Nature Singapore :2025. - xvii, 202 p. :ill. (chiefly col.), digital ;24 cm.

Section I: Introduction -- Chapter 1 - Fundamentals of AI -- Chapter 2 - Introduction and essentials of Mental Health -- Chapter 3 - Bringing AI and Mental Health together -- Chapter 4 - Advancement and current status -- Section II - Applications of AI in Mental Health -- Chapter 5 - Screening, Diagnosis and Prognosis -- Chapter 6 - AI Application in different Mental Health conditions -- Chapter 7 - AI assisted Intervention -- Chapter 8 - AI support for mental healthcare professionals -- Section III - Ethics, Policies and Future Directions -- Chapter 9 - Managing Data Privacy and Security -- Chapter 10 - Ethical Issues and Considerations for AI -- Chapter 11 - Explainable AI in Mental Health -- Chapter 12 - Research and Innovation: The road ahead.

This book on AI and mental health explores the intersection of AI and mental health care. It offers innovative strategies and tools to enhance mental health services. This book is structured to guide the reader through a journey of discovery and implementation, in terms of diagnosis, assessment, and management of mental health problems. It explores AI-driven diagnostic tools, illustrating how machine learning algorithms can identify patterns and predict mental health conditions. It highlights AI-assisted therapy and showcases examples of virtual therapists and chatbots for support and intervention. This book also tackles ethical considerations, demonstrating how an integrated AI upholds patient privacy and autonomy. With a focus on emerging trends, it reveals the transformative potential of AI in mental health care on a global scale. An indispensable resource for mental health professionals, researchers, and policymakers, this book provides a comprehensive understanding of how AI can optimize treatment plans, enhance diagnostic accuracy, and deliver personalized care.

ISBN: 9789819697441$q(electronic bk.)

Standard No.: 10.1007/978-981-96-9744-1doiSubjects--Topical Terms:

953012
Mental health services
--Technological innovations.

LC Class. No.: RA790.5

Dewey Class. No.: 362.2028563

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505 0 $a Section I: Introduction -- Chapter 1 - Fundamentals of AI -- Chapter 2 - Introduction and essentials of Mental Health -- Chapter 3 - Bringing AI and Mental Health together -- Chapter 4 - Advancement and current status -- Section II - Applications of AI in Mental Health -- Chapter 5 - Screening, Diagnosis and Prognosis -- Chapter 6 - AI Application in different Mental Health conditions -- Chapter 7 - AI assisted Intervention -- Chapter 8 - AI support for mental healthcare professionals -- Section III - Ethics, Policies and Future Directions -- Chapter 9 - Managing Data Privacy and Security -- Chapter 10 - Ethical Issues and Considerations for AI -- Chapter 11 - Explainable AI in Mental Health -- Chapter 12 - Research and Innovation: The road ahead.
520 $a This book on AI and mental health explores the intersection of AI and mental health care. It offers innovative strategies and tools to enhance mental health services. This book is structured to guide the reader through a journey of discovery and implementation, in terms of diagnosis, assessment, and management of mental health problems. It explores AI-driven diagnostic tools, illustrating how machine learning algorithms can identify patterns and predict mental health conditions. It highlights AI-assisted therapy and showcases examples of virtual therapists and chatbots for support and intervention. This book also tackles ethical considerations, demonstrating how an integrated AI upholds patient privacy and autonomy. With a focus on emerging trends, it reveals the transformative potential of AI in mental health care on a global scale. An indispensable resource for mental health professionals, researchers, and policymakers, this book provides a comprehensive understanding of how AI can optimize treatment plans, enhance diagnostic accuracy, and deliver personalized care.
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