Researchers 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 ...

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 ...

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 ...

The team conducted an experiment called “depression model,” in which researchers measure the time it takes for mice placed under stress to give up escaping from the situation. Mice that are ...

People high in neuroticism or negative emotionality would experience more intense depression symptoms, such as sadness and ...

It also correctly ruled out depression in close to 74% of patients. An AI model demonstrated efficacy at identifying moderate to severe depression through speech patterns, according to a cross ...

This groundwork enabled them to train a machine-learning model to pick up on the subtle vocal cues that may indicate depression from CEOs. Earnings calls serve as an ideal data source for this ...