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AI to Track Facial Expressions to Detect PTSD Symptoms in Children

  • A research team from the University of South Florida (USF) has developed an AI system that can identify post-traumatic stress disorder (PTSD) in children.
  • The AI system analyzes subtle facial muscle movements to detect PTSD symptoms in children who may struggle to communicate their distress through traditional methods like interviews and questionnaires.
  • The AI system extracts non-identifiable metrics such as eye gaze, mouth curvature, and head position from video footage to respect privacy and ethical boundaries.
  • While still in early stages, the AI tool is seen as a clinical augmentation to help therapists pick up on emotional signals that trained professionals might miss in real time, potentially transforming mental health diagnostics for children.

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