Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

<h3>Background</h3><p dir="ltr">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...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Alaa Abd-alrazaq (17058018) (author)
مؤلفون آخرون: Rawan AlSaad (14159019) (author), Sarah Aziz (17541312) (author), Arfan Ahmed (17541309) (author), Kerstin Denecke (11534035) (author), Mowafa Househ (9154124) (author), Faisal Farooq (13134579) (author), Javaid Sheikh (5534825) (author)
منشور في: 2023
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author Alaa Abd-alrazaq (17058018)
author2 Rawan AlSaad (14159019)
Sarah Aziz (17541312)
Arfan Ahmed (17541309)
Kerstin Denecke (11534035)
Mowafa Househ (9154124)
Faisal Farooq (13134579)
Javaid Sheikh (5534825)
author2_role author
author
author
author
author
author
author
author_facet Alaa Abd-alrazaq (17058018)
Rawan AlSaad (14159019)
Sarah Aziz (17541312)
Arfan Ahmed (17541309)
Kerstin Denecke (11534035)
Mowafa Househ (9154124)
Faisal Farooq (13134579)
Javaid Sheikh (5534825)
author_role author
dc.creator.none.fl_str_mv Alaa Abd-alrazaq (17058018)
Rawan AlSaad (14159019)
Sarah Aziz (17541312)
Arfan Ahmed (17541309)
Kerstin Denecke (11534035)
Mowafa Househ (9154124)
Faisal Farooq (13134579)
Javaid Sheikh (5534825)
dc.date.none.fl_str_mv 2023-09-13T12:00:00Z
dc.identifier.none.fl_str_mv 10.2196/42672
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Wearable_Artificial_Intelligence_for_Anxiety_and_Depression_Scoping_Review/26771863
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Psychology
Clinical and health psychology
wearable artificial intelligence
artificial intelligence
wearable devices
anxiety
depression
scoping review
mobile phone
dc.title.none.fl_str_mv Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr">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.</p><h3>Objective</h3><p dir="ltr">This review aimed to explore the features of wearable AI used for anxiety and depression to identify application areas and open research issues.</p><h3>Methods</h3><p dir="ltr">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.</p><h3>Results</h3><p dir="ltr">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.</p><h3>Conclusions</h3><p dir="ltr">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.</p><p dir="ltr">Correction: Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review: <a href="https://dx.doi.org/10.2196/46233" target="_blank">https://dx.doi.org/10.2196/46233</a>, published online 07 February 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Medical Internet Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.2196/42672" target="_blank">https://dx.doi.org/10.2196/42672</a></p>
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spelling Wearable Artificial Intelligence for Anxiety and Depression: Scoping ReviewAlaa Abd-alrazaq (17058018)Rawan AlSaad (14159019)Sarah Aziz (17541312)Arfan Ahmed (17541309)Kerstin Denecke (11534035)Mowafa Househ (9154124)Faisal Farooq (13134579)Javaid Sheikh (5534825)EngineeringBiomedical engineeringHealth sciencesHealth services and systemsInformation and computing sciencesArtificial intelligenceDistributed computing and systems softwarePsychologyClinical and health psychologywearable artificial intelligenceartificial intelligencewearable devicesanxietydepressionscoping reviewmobile phone<h3>Background</h3><p dir="ltr">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.</p><h3>Objective</h3><p dir="ltr">This review aimed to explore the features of wearable AI used for anxiety and depression to identify application areas and open research issues.</p><h3>Methods</h3><p dir="ltr">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.</p><h3>Results</h3><p dir="ltr">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.</p><h3>Conclusions</h3><p dir="ltr">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.</p><p dir="ltr">Correction: Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review: <a href="https://dx.doi.org/10.2196/46233" target="_blank">https://dx.doi.org/10.2196/46233</a>, published online 07 February 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Medical Internet Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.2196/42672" target="_blank">https://dx.doi.org/10.2196/42672</a></p>2023-09-13T12:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.2196/42672https://figshare.com/articles/journal_contribution/Wearable_Artificial_Intelligence_for_Anxiety_and_Depression_Scoping_Review/26771863CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/267718632023-09-13T12:00:00Z
spellingShingle Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
Alaa Abd-alrazaq (17058018)
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Psychology
Clinical and health psychology
wearable artificial intelligence
artificial intelligence
wearable devices
anxiety
depression
scoping review
mobile phone
status_str publishedVersion
title Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
title_full Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
title_fullStr Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
title_full_unstemmed Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
title_short Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
title_sort Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
topic Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Psychology
Clinical and health psychology
wearable artificial intelligence
artificial intelligence
wearable devices
anxiety
depression
scoping review
mobile phone