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. 2023 Jan 19:25:e42672.
doi: 10.2196/42672.

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Alaa Abd-Alrazaq  1 , Rawan AlSaad  1 , Sarah Aziz  1 , Arfan Ahmed  1 , Kerstin Denecke  2 , Mowafa Househ  3 , Faisal Farooq  4 , Javaid Sheikh  1
Affiliations

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Alaa Abd-Alrazaq et al. J Med Internet Res. .

Erratum in

Abstract

Background: Anxiety and depression are the most common mental disorders worldwide. Owing to the lack of psychiatrists around the world, the incorporation of artificial intelligence (AI) into wearable devices (wearable AI) has been exploited to provide mental health services.

Objective: This review aimed to explore the features of wearable AI used for anxiety and depression to identify application areas and open research issues.

Methods: We searched 8 electronic databases (MEDLINE, PsycINFO, Embase, CINAHL, IEEE Xplore, ACM Digital Library, Scopus, and Google Scholar) and included studies that met the inclusion criteria. Then, we checked the studies that cited the included studies and screened studies that were cited by the included studies. The study selection and data extraction were carried out by 2 reviewers independently. The extracted data were aggregated and summarized using narrative synthesis.

Results: Of the 1203 studies identified, 69 (5.74%) were included in this review. Approximately, two-thirds of the studies used wearable AI for depression, whereas the remaining studies used it for anxiety. The most frequent application of wearable AI was in diagnosing anxiety and depression; however, none of the studies used it for treatment purposes. Most studies targeted individuals aged between 18 and 65 years. The most common wearable device used in the studies was Actiwatch AW4 (Cambridge Neurotechnology Ltd). Wrist-worn devices were the most common type of wearable device in the studies. The most commonly used category of data for model development was physical activity data, followed by sleep data and heart rate data. The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.

Conclusions: Wearable AI can offer great promise in providing mental health services related to anxiety and depression. Wearable AI can be used by individuals for the prescreening assessment of anxiety and depression. Further reviews are needed to statistically synthesize the studies' results related to the performance and effectiveness of wearable AI. Given its potential, technology companies should invest more in wearable AI for the treatment of anxiety and depression.

Keywords: anxiety; artificial intelligence; depression; mobile phone; scoping review; wearable artificial intelligence; wearable devices.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Flowchart of the study selection process. AI: artificial intelligence.
See this image and copyright information in PMC

References

    1. The role of science in mental health: Insights from the Wellcome Global Monitor. Wellcome Trust. 2020. https://cms.wellcome.org/sites/default/files/2021-10/wellcome-global-mon... .
    1. Konnopka A, König H. Economic burden of anxiety disorders: a systematic review and meta-analysis. Pharmacoeconomics. 2020 Jan 24;38(1):25–37. doi: 10.1007/s40273-019-00849-7.10.1007/s40273-019-00849-7 - DOI - PubMed
    1. Hammen C, Brennan PA, Keenan-Miller D. Patterns of adolescent depression to age 20: the role of maternal depression and youth interpersonal dysfunction. J Abnorm Child Psychol. 2008 Nov 13;36(8):1189–98. doi: 10.1007/s10802-008-9241-9. - DOI - PubMed
    1. Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, Charlson FJ, Norman RE, Flaxman AD, Johns N, Burstein R, Murray CJ, Vos T. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013 Nov 09;382(9904):1575–86. doi: 10.1016/S0140-6736(13)61611-6.S0140-6736(13)61611-6 - DOI - PubMed
    1. Wilson S, Hicks BM, Foster KT, McGue M, Iacono WG. Age of onset and course of major depressive disorder: associations with psychosocial functioning outcomes in adulthood. Psychol Med. 2014 Jul 10;45(3):505–14. doi: 10.1017/s0033291714001640. - DOI - PMC - PubMed

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