A specially designed computer program can help diagnose post-traumatic stress disorder (PTSD) in veterans by analyzing their voices.
Published online April 22 in the journal Depression and Anxiety, the study found that an artificial intelligence tool can distinguish — with 89 percent accuracy — between the voices of those with or without PTSD.
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 with the condition experience strong, persistent distress when reminded of a triggering event.
In the current study, the research team used a statistical/machine learning technique, called random forests, that has the ability to “learn” how to classify individuals based on examples. Such AI programs build “decision” rules and mathematical models that enable decision-making with increasing accuracy as the amount of training data grows.