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.