USF Researchers Develop AI Tool to Detect PTSD Signs in Children

Researchers at the University of South Florida (USF) have pioneered an innovative approach to identifying post-traumatic stress disorder (PTSD) in children by utilizing artificial intelligence (AI) to analyze facial expressions. This method aims to enhance early detection and intervention for young individuals affected by trauma.

In a preliminary study, the AI tool was tested on 18 children and teenagers, aged 7 to 17. Participants engaged in discussions about their experiences while the AI analyzed their facial cues. The findings suggest that the system can distinguish between individuals with and without PTSD symptoms, offering a non-invasive diagnostic aid.

The development of this AI-based tool represents a significant advancement in the field of pediatric mental health. By providing clinicians with an objective method to detect PTSD in children, this technology holds the potential to improve early diagnosis and treatment outcomes, ultimately supporting the well-being of young individuals affected by trauma.

Read more: USF researchers uncover a way to use AI to recognize PTSD signals in children