NYU School of Medicine Develops Tool that Diagnoses Post-Traumatic Stress Disorder by Voice Analysis

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A specially designed computer program can help diagnose post-traumatic stress disorder (PTSD) in veterans by analyzing their voices, a new study finds.

A specially designed computer program can help diagnose post-traumatic stress disorder (PTSD) in veterans by analyzing their voices, a new study finds.

Published online April 22 in the journal Depression and Anxiety, the study found that an artificial intelligence (AI) tool can distinguish—with 89 percent accuracy—between the voices of those with and without PTSD.

“Our findings suggest that speech-based characteristics can be used to diagnose this disease, and with further refinement and validation, may be employed in the clinic in the near future,” says senior study author Charles R. Marmar, MD, the Lucius N. Littauer Professor and chair of the Department of Psychiatry at NYU School of Medicine.

More than 70 percent of adults worldwide experience a traumatic event at some point in their lives, with up to 12 percent of people in some struggling countries suffering from PTSD. Those who have the condition experience strong, persistent distress when reminded of a triggering event.

Read more at NYU Langone Health/NYU School of Medicine