Summary #368

UVM study: AI can detect depression in a child’s speech
  • AI-powered tools for detecting anxiety in children’s voices are being developed.
  • A special algorithm analyzes statistical features of kids’ audio recordings.
  • The study involved a special version of the Trier-Social Stress Task, where 71 children between 3 and 8 y-o were asked to improvise a three-minute story.
  • The algorithm was 80% accurate in diagnosing internalizing disorders, and it’s now being developed into a tool for clinical use.
  • This is important, as 1 in 5 children suffer from internalizing disorders which increase the risks of substance use and suicide in later life if untreated.




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