New Telemedicine Approach in Detecting PTSD
Researchers from the NYU Langone Health and NYU School of Medicine have developed an artificial intelligence tool that can distinguish the voices of those with or without post-traumatic stress disorder (PTSD). PTSD is an anxiety disorder that is caused by very stressful, frightening or distressing events.
According to studies, 70 percent of adults all over the world experience a traumatic event at some point in their lives. 12 percent of these people lead up to suffering from PTSD. This motivated the researchers to find a new and easier way to detect PTSD as most of its diagnoses are determined by clinical interviews which are inherently prone to biases.
The software was developed by having diagnostic interviews called the Clinician-Administered PTSD Scale (CAPS) among 53 Iraq and Afghanistan veterans having military-service-related PTSD and 78 veterans without the disease. The voice recordings were then fed into a voice software that generated 40,526 speech-based features captured into short spurts of talk. The data was sifted through for patterns by the research team's AI program.
According to Charles R. Marmar, chair of the Department of Psychiatry at NYU School of Medicine, "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." This also states that this new approach on detecting PTSD among patients can pave the way into innovating telemetry applications in medicine.
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