A new deep learning algorithm that can detect signs of depression from a person's speech has recently been developed by researchers at the Jinhua Advanced Research Institute and Harbin University of ...
Artificial Intelligence could soon be used to spot signs of depression in humans who are too young to articulate their emotions. While experts estimate approximately one in five children suffer from ...
An AI-based machine learning tool identified depression in 71% of people with the condition from under a minute of free speech. The findings may enable more widespread screening for the condition. The ...
Anxiety and depression are inherently tricky conditions to diagnose, with clinicians turning to exams and questionnaires to make their assessments. For this reason, the search is on for clearer, more ...
Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers at Kaunas University of Technology (KTU) have ...
In the study, researchers from the University of Vermont Medical Center in Burlington assigned 71 children aged 3 to 8 to complete the Trier-Social Stress Task. Each child improvised a three-minute ...
A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult ...
A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult ...
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