The Duke Center for Autism and Brain Development has been awarded a $12 million federal grant from the National Institute of Child Health and Human Development to develop artificial intelligence tools for detecting autism during infancy and identifying brain-based biomarkers of autism.
In a project, artificial intelligence will automatically code video footage of young children’s behavior and interactions with their caregivers from a digital app used by parents at home. Information collected is used to identify behavioral characteristics of infants and toddlers who are later diagnosed with autism.
A second project will use artificial intelligence to analyze 260,000 health insurance claims, including those from 6,000 children diagnosed with autism, from birth to 18 months.
That data will be used to develop an algorithm to predict autism during infancy and identify the nature of early medical conditions associated with a later diagnosis of autism.
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