AI Tool May Help Identify ADHD in Kids Long Before Typical Diagnosis
A new study from Duke Health suggests that an AI model can estimate a child's risk of developing ADHD years before a typical diagnosis. The model reviewed medical data from over 140,000 children and proved highly accurate at estimating future ADHD in children aged 5 and older.
A new study from Duke Health published in Nature Mental Health suggests that artificial intelligence could help identify ADHD in children years before a typical diagnosis. Researchers created an AI model that estimated a child's risk of developing ADHD by reviewing medical data from over 140,000 children. The model learned to spot combinations of developmental, behavioral, and clinical signs that often appear long before diagnosis. It proved highly accurate at estimating future ADHD in children aged 5 and older, with consistent results across sex, race, ethnicity, and insurance status. The tool can flag kids for earlier evaluation, diagnosis, and support, which is linked to better academic, social, and health outcomes. The AI model is not intended to replace clinicians but to help them focus their time and resources on children who need help.
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