Duke Center for Autism and Brain Development

A Duke study shows AI models may identify a child’s risk of developing ADHD years before a typical diagnosis, potentially allowing support to start earlier. Study lead author Elliot Hill and colleagues found using AI models to analyze routine electronic health records can pick up patterns to flag children for evaluation and follow-up.

The research is published in Nature Mental Health and looked at the records of more than 140,000 children with and without ADHD.

More: https://corporate.dukehealth.org/news/ai-tool-may-spot-adhd-years-children-are-diagnosed

Duke University School of Medicine | Duke Psychiatry & Behavioral Sciences | Duke Children's |

AI Tool May Spot ADHD Years Before Children Are Diagnosed DURHAM, N.C. — Attention-deficit/hyperactivity disorder (ADHD) affects millions of children, yet many go years without a diagnosis, missing the chance for early support that can change long-term outcomes even when early signs are present.

"Disability is a life dynamic, and each individual has a right to full opportunities to thrive at every age and stage of their life. Our charge is under constant review to advance this work for our students." - Kristen Bell, EdD, Executive Director of the Exceptional Children's Programs at Durham Public Schools.

Dr. Bell is a member of our Community Engagement Advisory Board, and for Autism Acceptance Month, we asked what looks like in practice.