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Artificial Intelligence in Digital Mental Health

Artificial Intelligence in Digital Mental Health
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Author(s): Constantino Lopes Martins (ISEP, Polytechnic Institute of Porto, Portugal), Diogo Martinho (ISEP, Polytechnic Institute of Porto, Portugal), Goreti Marreiros (ISEP, Polytechnic Institute of Porto, Portugal), Luís Conceição (ISEP, Polytechnic Institute of Porto, Portugal), Luiz Faria (ISEP, Polytechnic Institute of Porto, Portugal)and Raquel Simões de Almeida (Santa Maria Health School, Portugal & School of Health, Polytechnic Institute of Porto, Portugal)
Copyright: 2022
Pages: 25
Source title: Digital Therapies in Psychosocial Rehabilitation and Mental Health
Source Author(s)/Editor(s): António Marques (School of Health, Polytechnic Institute of Porto, Portugal)and Ricardo Queirós (Polytechnic Institute of Porto, Portugal)
DOI: 10.4018/978-1-7998-8634-1.ch010

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Abstract

The prevention of diseases considered a scourge of our society, as for example mental illness, particularly anxiety disorders and depressive states, is a primary and urgent goal today and a priority axis of the EU. Mental illness includes many clinical conditions associated with several changes that include limitations related with social interaction or several tasks such as sleeping through the night, doing homework, making friends, thinking capacity and reality understanding, deficits in communication skills, and difficulties in developing appropriate emotional and behavioural response. Artificial intelligence has gained a prominent role in the management and delivery of healthcare. There is a growth in mobile devices applied to health with high mobility, connectivity, and processing capacity. This chapter provides an analysis of the actual trends regarding the main problems that can be dealt with using AI in mental healthcare and the corresponding main techniques used to deal with these problems. Additionally, some case studies for using AI for mental health care are described.

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