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Cited by 409Mental Health via WritingDigital Mental Health InterventionsEmotion and Mood Recognition

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

AI in mental health

D’Alfonso, Simon·2020·Current Opinion in Psychology
DOI 10.1016/j.copsyc.2020.04.005
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Abstract

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.

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Research works printed but not linked: 5

  1. Ramesh, 2017, A Survey of Design Techniques for Conversational Agents,” in Information, Communication and Computing Technology, ICICCT 2017, vol. 750
  2. Inkster, 2018, JMIR Mhealth Uhealth, 6, 10.2196/12106 · DOI · Paper page
  3. Fiske, 2019, J Med Internet Res, 21
  4. Kretzschmar, 2019, Insights, 11, 1
  5. Gooding, 2019, Mapping the rise of digital mentalE health technologies: emerging issues for law and society, vol. 67

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Metadata

Authors
D’Alfonso, S.
Affiliations
The University of Melbourne (AU)
Corresponding author
D’Alfonso, Simon
ORCID
D’Alfonso, Simon
Venue
Current Opinion in Psychology
Publisher
Elsevier BV
Published
2020-12
Volume
36
Pages
112-117
ISSN
2352-250X (ISSN-L)
DOI
10.1016/j.copsyc.2020.04.005
OpenAlex
W3033626851
Semantic Scholar
56db71460c2742ae968f5030a318c156f9979b14
Cited by
408
References
53
Citations by year
2026: 84 · 2025: 133 · 2024: 85 · 2023: 56 · 2022: 27 · 2021: 16 · 2020: 7
FWCI
4.27
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Current Opinion in Psychology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords
artificial intelligence in mental health, machine learning, digital mental health interventions, mobile application, online intervention, mental health prediction, mental health detection, social media data, natural language processing, chatbots, therapeutic chatbots
MeSH terms
Machine Learning, Artificial Intelligence, Mental Disorders, Communication, Humans, Mental Health

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