The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review

<div><p>Artificial intelligence (AI) has been successfully exploited in diagnosing many mental disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI models in diagnosing different mental disorders. This umbrella review aims to synthesize results of previous...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Alaa Abd-alrazaq (17058018) (author)
مؤلفون آخرون: Dari Alhuwail (6497858) (author), Jens Schneider (16885948) (author), Carla T. Toro (5648162) (author), Arfan Ahmed (17541309) (author), Mahmood Alzubaidi (15740693) (author), Mohannad Alajlani (9392676) (author), Mowafa Househ (9154124) (author)
منشور في: 2022
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author Alaa Abd-alrazaq (17058018)
author2 Dari Alhuwail (6497858)
Jens Schneider (16885948)
Carla T. Toro (5648162)
Arfan Ahmed (17541309)
Mahmood Alzubaidi (15740693)
Mohannad Alajlani (9392676)
Mowafa Househ (9154124)
author2_role author
author
author
author
author
author
author
author_facet Alaa Abd-alrazaq (17058018)
Dari Alhuwail (6497858)
Jens Schneider (16885948)
Carla T. Toro (5648162)
Arfan Ahmed (17541309)
Mahmood Alzubaidi (15740693)
Mohannad Alajlani (9392676)
Mowafa Househ (9154124)
author_role author
dc.creator.none.fl_str_mv Alaa Abd-alrazaq (17058018)
Dari Alhuwail (6497858)
Jens Schneider (16885948)
Carla T. Toro (5648162)
Arfan Ahmed (17541309)
Mahmood Alzubaidi (15740693)
Mohannad Alajlani (9392676)
Mowafa Househ (9154124)
dc.date.none.fl_str_mv 2022-07-01T00:00:00Z
dc.identifier.none.fl_str_mv 10.1038/s41746-022-00631-8
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/The_performance_of_artificial_intelligence-driven_technologies_in_diagnosing_mental_disorders_an_umbrella_review/25663878
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Health sciences
Health services and systems
Artificial intelligence
Mental disorders
Diagnosis
Systematic reviews
Performance evaluation
Alzheimer's disease
dc.title.none.fl_str_mv The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <div><p>Artificial intelligence (AI) has been successfully exploited in diagnosing many mental disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI models in diagnosing different mental disorders. This umbrella review aims to synthesize results of previous systematic reviews on the performance of AI models in diagnosing mental disorders. To identify relevant systematic reviews, we searched 11 electronic databases, checked the reference list of the included reviews, and checked the reviews that cited the included reviews. Two reviewers independently selected the relevant reviews, extracted the data from them, and appraised their quality. We synthesized the extracted data using the narrative approach. We included 15 systematic reviews of 852 citations identified. The included reviews assessed the performance of AI models in diagnosing Alzheimer’s disease (n = 7), mild cognitive impairment (n = 6), schizophrenia (n = 3), bipolar disease (n = 2), autism spectrum disorder (n = 1), obsessive-compulsive disorder (n = 1), post-traumatic stress disorder (n = 1), and psychotic disorders (n = 1). The performance of the AI models in diagnosing these mental disorders ranged between 21% and 100%. AI technologies offer great promise in diagnosing mental health disorders. The reported performance metrics paint a vivid picture of a bright future for AI in this field. Healthcare professionals in the field should cautiously and consciously begin to explore the opportunities of AI-based tools for their daily routine. It would also be encouraging to see a greater number of meta-analyses and further systematic reviews on performance of AI models in diagnosing other common mental disorders such as depression and anxiety.</p><p> </p></div><h2>Other Information</h2> <p> Published in: npj Digital Medicine<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/10.1038/s41746-022-00631-8" target="_blank">https://dx.doi.org/10.1038/s41746-022-00631-8</a></p>
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identifier_str_mv 10.1038/s41746-022-00631-8
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25663878
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spelling The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella reviewAlaa Abd-alrazaq (17058018)Dari Alhuwail (6497858)Jens Schneider (16885948)Carla T. Toro (5648162)Arfan Ahmed (17541309)Mahmood Alzubaidi (15740693)Mohannad Alajlani (9392676)Mowafa Househ (9154124)Health sciencesHealth services and systemsArtificial intelligenceMental disordersDiagnosisSystematic reviewsPerformance evaluationAlzheimer's disease<div><p>Artificial intelligence (AI) has been successfully exploited in diagnosing many mental disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI models in diagnosing different mental disorders. This umbrella review aims to synthesize results of previous systematic reviews on the performance of AI models in diagnosing mental disorders. To identify relevant systematic reviews, we searched 11 electronic databases, checked the reference list of the included reviews, and checked the reviews that cited the included reviews. Two reviewers independently selected the relevant reviews, extracted the data from them, and appraised their quality. We synthesized the extracted data using the narrative approach. We included 15 systematic reviews of 852 citations identified. The included reviews assessed the performance of AI models in diagnosing Alzheimer’s disease (n = 7), mild cognitive impairment (n = 6), schizophrenia (n = 3), bipolar disease (n = 2), autism spectrum disorder (n = 1), obsessive-compulsive disorder (n = 1), post-traumatic stress disorder (n = 1), and psychotic disorders (n = 1). The performance of the AI models in diagnosing these mental disorders ranged between 21% and 100%. AI technologies offer great promise in diagnosing mental health disorders. The reported performance metrics paint a vivid picture of a bright future for AI in this field. Healthcare professionals in the field should cautiously and consciously begin to explore the opportunities of AI-based tools for their daily routine. It would also be encouraging to see a greater number of meta-analyses and further systematic reviews on performance of AI models in diagnosing other common mental disorders such as depression and anxiety.</p><p> </p></div><h2>Other Information</h2> <p> Published in: npj Digital Medicine<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/10.1038/s41746-022-00631-8" target="_blank">https://dx.doi.org/10.1038/s41746-022-00631-8</a></p>2022-07-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41746-022-00631-8https://figshare.com/articles/journal_contribution/The_performance_of_artificial_intelligence-driven_technologies_in_diagnosing_mental_disorders_an_umbrella_review/25663878CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256638782022-07-01T00:00:00Z
spellingShingle The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Alaa Abd-alrazaq (17058018)
Health sciences
Health services and systems
Artificial intelligence
Mental disorders
Diagnosis
Systematic reviews
Performance evaluation
Alzheimer's disease
status_str publishedVersion
title The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
title_full The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
title_fullStr The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
title_full_unstemmed The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
title_short The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
title_sort The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
topic Health sciences
Health services and systems
Artificial intelligence
Mental disorders
Diagnosis
Systematic reviews
Performance evaluation
Alzheimer's disease