This refers to the PRECOG system, developed by a team of researchers from the University of Southern California. The project helps identify signs of depressive disorder and suicidal tendencies based on objective physiological indicators.
The neural network is capable of detecting patterns characteristic of psychological disorders. For example, in people with depression, the brain responds differently to negative statements, eye movements become more erratic and slower, and the body's response to stress differs from the norm. During the study, volunteers read emotionally charged statements while specialized equipment recorded various physiological reactions.
The developers believe that the technology will become a valuable tool for psychiatrists and contribute to improving mental healthcare by supporting earlier and more objective diagnosis.