Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression

A Abd-Alrazaq, R AlSaad, F Shuweihdi, A Ahmed… - NPJ Digital …, 2023 - nature.com
Given the limitations of traditional approaches, wearable artificial intelligence (AI) is one of
the technologies that have been exploited to detect or predict depression. The current …

[HTML][HTML] Wearable artificial intelligence for anxiety and depression: scoping review

A Abd-Alrazaq, R AlSaad, S Aziz, A Ahmed… - Journal of Medical …, 2023 - jmir.org
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 …

[HTML][HTML] Wearable artificial intelligence for detecting anxiety: systematic review and meta-analysis

A Abd-Alrazaq, R AlSaad, M Harfouche, S Aziz… - Journal of medical …, 2023 - jmir.org
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …

[HTML][HTML] Wearable devices for anxiety & depression: a scoping review

A Ahmed, S Aziz, M Alzubaidi, J Schneider… - Computer Methods and …, 2023 - Elsevier
Background The rates of mental health disorders such as anxiety and depression are at an
all-time high especially since the onset of COVID-19, and the need for readily available …

Current advances in wearable devices and their sensors in patients with depression

S Lee, H Kim, MJ Park, HJ Jeon - Frontiers in Psychiatry, 2021 - frontiersin.org
In this study, a literature survey was conducted of research into the development and use of
wearable devices and sensors in patients with depression. We collected 18 studies that had …

Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey

C Nash, R Nair, SM Naqvi - IEEE Access, 2023 - ieeexplore.ieee.org
This paper explores the current machine learning based methods used to identify Attention
Deficit Hyperactivity Disorder (ADHD) and depression in humans. Prevalence of mental …

[HTML][HTML] The performance of wearable AI in detecting stress among students: systematic review and Meta-analysis

A Abd-Alrazaq, M Alajlani, R Ahmad, R AlSaad… - Journal of Medical …, 2024 - jmir.org
Background Students usually encounter stress throughout their academic path. Ongoing
stressors may lead to chronic stress, adversely affecting their physical and mental well …

[HTML][HTML] Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling

Y Rykov, TQ Thach, I Bojic… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background: Depression is a prevalent mental disorder that is undiagnosed and untreated
in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing …

The current research landscape on the artificial intelligence application in the management of depressive disorders: a bibliometric analysis

BX Tran, RS McIntyre, CA Latkin, HT Phan… - International journal of …, 2019 - mdpi.com
Artificial intelligence (AI)-based techniques have been widely applied in depression
research and treatment. Nonetheless, there is currently no systematic review or bibliometric …

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

A Abd-Alrazaq, D Alhuwail, J Schneider, CT Toro… - Npj Digital …, 2022 - nature.com
Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …