15 Feb '17, 7pm

AI Predicts Autism From Infant Brain Scans

Twenty-two years ago, researchers first reported that adolescents with autism spectrum disorder had increased brain volume. During the intervening years, studies of younger and younger children showed that this brain “overgrowth” occurs in childhood. Now, a team at the University of North Carolina, Chapel Hill, has detected brain growth changes linked to autism in children as young as 6 months old . And it piqued our interest because a deep-learning algorithm was able to use that data to predict whether a child at high-risk of autism would be diagnosed with the disorder at 24 months. The algorithm correctly predicted the eventual diagnosis in high-risk children with 81 percent accuracy and 88 percent sensitivity. That’s pretty damn good compared with behavioral questionnaires, which yield information that leads to early autism diagnoses (at around 12 months old) that are j...

Full article: http://spectrum.ieee.org/the-human-os/biomedical/imaging/...

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AI Predicts Autism From Infant Brain Scans

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Twenty-two years ago, researchers first reported that adolescents with autism spectrum disorder had increased brain volume...

AI Predicts Autism From Infant Brain Scans

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