Artificial intelligence (AI) rapidly emerges as a transformative force in the field of mental health, offering innovative tools for early diagnosis, personalized treatment, and access to care. From AI-powered chatbots to machine learning algorithms, these technologies have the potential to enhance mental health services and bridge gaps in the healthcare system. However, the integration of AI into mental health care presents significant challenges, including concerns over privacy, the accuracy of diagnostic tools, potential biases in algorithms, and the ethical implications of machine-assisted therapy. Addressing these issues requires a collaborative approach to ensure AI is implemented in safe, equitable, and supportive ways. AI in Mental Health: Innovations, Challenges, and Collaborative Pathways explores the transformative role of AI in reshaping educational practices and mental health support systems. It addresses the intersection of AI-driven innovations in learning environments, mental health interventions, and how these advancements present both opportunities and challenges for educators, health professionals, and policymakers. This book covers topics such as data management, social-emotional learning, and curriculum development, and is a useful resource for educators, engineers, medical professionals, academicians, researchers, and data scientists.
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Dr. Maria Efstratopoulou is an Associate Professor of Special Education at the United Arab Emirates University. Before joining UAEU, she was a Senior Lecturer in BGUniversity in the UK, teaching at the graduate program in Special Education and Inclusion. She holds a doctoral degree in Biomedical Sciences from the Faculty of Kinesiology and Rehabilitation KULeuven, Belgium, a European Master in Psychomotor Therapy for Children (KULeuven, Belgium), and a Master in Human Performance and Health for Special Populations (Aristotle University of Thessaloniki, Greece). Her research interests are in motor behaviour and assessment for children with emotional, behavioural, and developmental disorders.
Agathi Argyriadis is a Psychologist with specialization on Cognitive – Behavioral Psychotherapy and Developmental Psychology. Her PhD thesis is entitled “The effects of “Aesthetic flow experiences” in school’s environment of first graders. A psycho-educational approach”. She also holds a M.Ed. in Special Education and a second Master in Counseling. She is a Lecturer in the Department of Psychology at Frederick University, teaching developmental and cognitive psychology. In the past she has also taught at Cyprus University of Technology, at the East London University and at the University of Peloponnese at the department of Speech Pathology, for 3 years. She is the writer of 10 scientific books in the field of psychology and more than 80 papers in high impact factor academic journals. Her research interests focus on optimizing learning environments using positive psychology and aesthetic theories, developmental psychological issues, special education and social inclusion.
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Taschenbuch. Condición: Neu. AI in Mental Health | Innovations, Challenges, and Collaborative Pathways | Agathi Argyriadi (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337350738 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 133601435
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) rapidly emerges as a transformative force in the field of mental health, offering innovative tools for early diagnosis, personalized treatment, and access to care. From AI-powered chatbots to machine learning algorithms, these technologies have the potential to enhance mental health services and bridge gaps in the healthcare system. However, the integration of AI into mental health care presents significant challenges, including concerns over privacy, the accuracy of diagnostic tools, potential biases in algorithms, and the ethical implications of machine-assisted therapy. Addressing these issues requires a collaborative approach to ensure AI is implemented in safe, equitable, and supportive ways. AI in Mental Health: Innovations, Challenges, and Collaborative Pathways explores the transformative role of AI in reshaping educational practices and mental health support systems. It addresses the intersection of AI-driven innovations in learning environments, mental health interventions, and how these advancements present both opportunities and challenges for educators, health professionals, and policymakers. This book covers topics such as data management, social-emotional learning, and curriculum development, and is a useful resource for educators, engineers, medical professionals, academicians, researchers, and data scientists. Nº de ref. del artículo: 9798337350738
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