Post-traumatic stress disorder (PTSD) is a disease that affects the mental health of patients. This disease can be caused due to terrifying events in a person life that can keep them in shock. Many different symptoms can be seen and effects on the patients that can provide heads up for the availability of the disorder.
It gets hard for doctors to be able to prove that the disorder exists in a certain person. This is what inspired a team of researchers from the NYU School of Medicine to use Artificial Intelligence to detect PTSD.
The tool works on analyzing voice waves from the patients and through it, the software will help detect whether PTSD is detected or not. The study was led by the Lucius N. Littauer Professor and chair of the Department of Psychiatry at NYU School of Medicine, Charles R. Marmar who posted the study and results in the Depression and Anxiety journal.
Dr. Charles commented on his results saying, “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 is a very important tool due to the fact that almost 70% of all adults worldwide are vulnerable to PTSD. 12% of these people are actually located in struggling countries, which makes the chances of getting diseases even more. The device uses computer knowledge and AI to detect pitch levels in the sound waves of the potential patients.