Elliot Hill

Artificial intelligence predicts adolescent mental health risk before symptoms emerge Researchers have developed an AI that accurately predicts mental health risks in adolescents before crises emerge. By identifying root causes like sleep issues, the model offers potential for early in...

Our recent Nature Medicine paper got featured on PsyPost and BrainPost!

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Prediction of mental health risk in adolescents - Nature Medicine Using longitudinal survey and neuroimaging data from more than 11,000 adolescents in the United States, a machine learning model shows promising performance in identifying individuals at greater risk ...

We trained AI to predict mental health risk in children using data from the largest US study of childhood neurodevelopment. We found that sleep quality was the strongest predictor of future mental illness. www.nature.com/articles/s41...