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A startup in Atlanta has received a $1 million grant from the National Science Foundation to develop a technology that uses artificial intelligence to accurately predict the emotional states of young people receiving mental health treatment, the Atlanta Journal-Constitution reports.
According to a press release, TQIntelligence's technology uses voice biomarkers, which can be detected by listening to a child's voice, to determine if the child is having emotional distress.
The technology can then be used by therapists to accurately predict whether a child will be able to speak openly about his or her distress.
"By introducing objective data, transparency, and accountability to the process, we can transform behavioral healthcare for at-risk youth," TQIntelligence CEO Yared Alemu says in the press release.
TQIntelligence plans to use its technology to help children from " marginalized communities" receive better mental health treatment, the Journal-Constitution reports.
According to the NIH, black children suffer from the second-leading cause of death by suicide and the third-leading cause of death by suicide.
Alemu says his company's technology will help reduce disparities in mental health treatment by identifying children who are unable to speak openly about their mental health issues due to lack of insight and awareness.
TQIntelligence has already received support from Google,
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