The chapter focuses on the current applications of machine learning in clinical psychology, clinical psychiatry and psychotherapy. Clustering, classification and prediction algorithms can be used for different purposes in the realm of clinical psychology, such as diagnosis and prognosis. Current diagnostic criteria, therapies and statistical procedures show different limitations that hamper the understanding and management of complex and multidimensional conditions. The potential of this new technology can be exploited to improve the assessment and the treatment of psychiatric disorders and successfully added as a new tool for clinicians and researchers.
Tuena, C., Chiappini, M., Repetto, C., Riva, G., Artificial Intelligence in Clinical Psychology, Comprehensive Clinical Psychology, Second Edition, Elsevier Science Publishing, N/A 2022 2022: 10-27. 10.1016/B978-0-12-818697-8.00001-7 [https://hdl.handle.net/10807/233367]
Artificial Intelligence in Clinical Psychology
Tuena, CosimoPrimo
;Repetto, Claudia;Riva, GiuseppeUltimo
2022
Abstract
The chapter focuses on the current applications of machine learning in clinical psychology, clinical psychiatry and psychotherapy. Clustering, classification and prediction algorithms can be used for different purposes in the realm of clinical psychology, such as diagnosis and prognosis. Current diagnostic criteria, therapies and statistical procedures show different limitations that hamper the understanding and management of complex and multidimensional conditions. The potential of this new technology can be exploited to improve the assessment and the treatment of psychiatric disorders and successfully added as a new tool for clinicians and researchers.
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