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AI Model Detects Depression in Older Adults Using Wi-Fi Motion Data with 87% AccuracyResearchers developed an AI model, HOPE, that uses Wi-Fi-based motion sensors to detect depression in older adults with over ...
A new study published in JMIR Aging developed and tested a new AI model called HOPE which uses Wi-Fi-based motion sensor data ...
A machine learning model using existing clinical data may help clinicians screen for comorbid anxiety and depression in ...
A new study published in JMIR Aging developed and tested a new AI model called HOPE which uses Wi-Fi–based motion sensors data to detect depression in older adults without relying on intrusive ...
Logistic regression examined the association between digital technology use and depression. The PROCESS program’s Model 4 evaluated the mediating role of social participation, while Model 7 assessed ...
This article explores the challenges and highlights actionable telehealth solutions that enhance access to care, particularly ...
Mar. 5, 2025 — Group arts interventions, such as painting, dance, or music, significantly reduce symptoms of depression and anxiety in older adults, offering a powerful alternative to ...
Objective To assess the prevalence of depression and its associated factors among individuals with disabilities. Design Cross-sectional study. Setting Community-based study conducted in Ilam ...
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