AI in mental health.
By Simon D’Alfonso. Current Opinion in Psychology, 2020
332 citations recorded by the source corpus.
With the advent of digital approaches to mental health, modern artificial intelligence (AI), and machine learning in particular, is being used in the development of prediction, detection and treatment solutions for mental health care. In terms of treatment, AI is being incorporated into digital interventions, particularly web and smartphone apps, to enhance user experience and optimise personalised mental health care. In terms of prediction and detection, modern streams of abundant data mean that data-driven AI methods can be employed to develop prediction/detection models for mental health conditions. In particular, an individual's 'digital exhaust', the data gathered from their numerous personal digital device and social media interactions, can be mined for behavioural or mental health insights. Language, long considered a window into the human mind, can now be quantitatively harnessed as data with powerful computer-based natural language processing to also provide a method of inferring mental health. Furthermore, natural language processing can also be used to develop conversational agents used for therapeutic intervention.
Subfields: Applied Psychology, Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/56db71460c2742ae968f5030a318c156f9979b14
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In Applied Psychology
In Experimental and Cognitive Psychology
In Social Psychology
Citations in the corpus
- Artificially intelligent chatbots in digital mental health interventions: a review (2021, background): “The digital mental health care industry has recently begun to incorporate AI into existing platforms and create AI-guided products [48].”