How AI Is Aiding Earlier Diagnosis of Autism: Dr. Geraldine Dawson, Founding Director of the Duke Center for Autism and Brain Development

“We've been able to show that even by 30 days of age, we can predict with some accuracy if a child is going to have a diagnosis of autism,” says Dr. Geraldine Dawson, sharing one of the recent advancements in early diagnosis being aided by artificial intelligence.  Dr. Dawson -- a leading scholar in the field and founding director of the Duke Center for Autism and Brain Development – explains that an AI examination of a child’s pattern of visits to medical specialists in its very early life is an objective diagnostic tool that can supplement the current subjective reports from parents which vary in reliability. Another objective diagnostic tool in development uses a smartphone app developed at Duke that takes video of babies watching images and applies AI-aided Computer Vision Analysis to measure for signs of autism. This enlightening Raise the Line conversation with host Lindsey Smith is loaded with the latest understandings about Autism Spectrum Disorder including advancements in early therapeutic interventions, the interplay of genetic and environmental factors, and the role of the mother’s health and exposures during pregnancy. You’ll learn as well about what Dawson sees as necessary societal shifts in how autism is perceived, the numerous factors contributing to a near tripling of diagnoses over the past two decades, and how early intervention and informed advocacy can make a meaningful difference in the lives of countless families.

Mentioned in this episode:

Duke Center for Autism and Brain Development

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