Artificial Intelligence: Models, Algorithms and Applications

Artificial Intelligence in Mental Health

Author(s): Suresh Kumar Mukhiya*, Amin Aminifar, Fazle Rabbi, Violet Ka I. Pun and Yngve Lamo

Pp: 13-34 (22)

DOI: 10.2174/9781681088266121010004

* (Excluding Mailing and Handling)


Managing the prevalence of mental health problems is both socially and economically challenging. Technological advancement in recent decades has provided potential solutions to this issue. In particular, Artificial Intelligence (AI) is one of the research areas that has expanded into several behavioural, neurological and mental healthcare areas by fulfilling the main objectives of P4 medicine - personalized, predictive, preventive, and participative medicine. In this chapter, we give an overview of recent applications of AI for screening, detection, and treatment of mental health problems; summarize the economic and social implications; present a systematic overview of which AI technologies are used for the different mental disorders and identify challenges for further development. Based on this, we identify some future research questions that could be solved with the use of AI in mental healthcare. The chapter concludes with an in-depth discussion on the key challenges of the application of AI in mental health interventions.

Keywords: Affective Computing, Ambient Intelligence, Artificial Intelligence, Cognitive Based Therapy, Deep Learning, Internet Delivered Treatment, Machine Learning, Mental health, P4 medicine.

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