Duke AI Predicts ADHD Early

Researchers at Duke University Medical Center have developed an artificial intelligence tool that can accurately estimate a child's risk of developing Attention deficit hyperactivity disorder (ADHD) years before a typical diagnosis. The AI model analyzes routine electronic health records, identifying patterns in developmental, behavioral, and clinical events from birth through early childhood. This innovation, published in Nature Mental Health, aims to help clinicians flag children who could benefit from earlier evaluation and support, which is linked to improved academic, social, and health outcomes. Lead author Elliott Hill and senior author Matthew Engelhard emphasize that the tool is designed to assist, not replace, medical professionals. The study was supported by grants from the United States — National Institute of Mental Health and United States — National Center for Advancing Translational Sciences. While promising, researchers like Scott Kollins caution that further studies are needed before clinical implementation, and ethical considerations regarding false positives and data bias must be addressed.