Duke secures $15M grant to advance AI tool predicting adolescent mental illness

A team at Duke University has secured a $15 million federal grant to expand an artificial intelligence model designed to predict mental illness in adolescents.

The Duke Predictive Model of Adolescent Mental Health (Duke-PMA), co-developed by Professor of Psychiatry Jonathan Posner, Assistant Professor of Biostatistics & Bioinformatics Matthew Engelhard and AI Health Fellow Elliot Hill, is an AI-based tool that assesses factors related to adolescent mental health.

The model is used to predict who is most likely to develop a mental illness within a year. It also identifies the key factors driving those predictions, offering the potential to guide targeted preventive interventions…

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