Attention-deficit/hyperactivity disorder affects 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. In a new study, Duke Health researchers found that artificial intelligence tools can analyze routine electronic health records to accurately estimate a child’s risk of developing ADHD years before a typical diagnosis. Dr. Matthew Englehard, from Duke University’s Department of Biostatistics and Bioinformatics, talked with Jeff Hamlin.