Sweat, brain signals, eye movements and AI used to detect depression and suicide risk

Suicide rates in the U.S. have been rising at an alarming rate over the past few decades, with rates among veterans 1.5 times higher than those of the general public, USC Suzanne Dworak-Peck School of Social Work's study shows.

While research shows that intervention is key to preventing suicide, many cases go unreported, particularly within military populations, because of societal pressure, mental health stigma and reporting biases.

A major root cause of these challenges is that mental illnesses like depression still lack a standard testing method. Diagnoses still mainly rely on self-reporting tools such as surveys and clinical interviews. This remains a critical challenge across mental illnesses.

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