Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
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 …
the technologies that have been exploited to detect or predict depression. The current …
[HTML][HTML] Wearable artificial intelligence for anxiety and depression: scoping review
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 …
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
Background Anxiety disorders rank among the most prevalent mental disorders worldwide.
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based …
[HTML][HTML] Wearable devices for anxiety & depression: a scoping review
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 …
all-time high especially since the onset of COVID-19, and the need for readily available …
[HTML][HTML] 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 …
wearable devices and sensors in patients with depression. We collected 18 studies that had …
The current research landscape on the artificial intelligence application in the management of depressive disorders: a bibliometric analysis
Artificial intelligence (AI)-based techniques have been widely applied in depression
research and treatment. Nonetheless, there is currently no systematic review or bibliometric …
research and treatment. Nonetheless, there is currently no systematic review or bibliometric …
[HTML][HTML] Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling
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 …
in half of all cases. Wearable activity trackers collect fine-grained sensor data characterizing …
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …
Diagnosis of depressive disorder model on facial expression based on fast R-CNN
YS Lee, WH Park - Diagnostics, 2022 - mdpi.com
This study examines related literature to propose a model based on artificial intelligence
(AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be …
(AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be …
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …
from which millions of individuals are affected today. The symptoms of depression are …