AI could tell whether your child will develop autism with 96% accuracy

AI in autism

A new study published at Science Translational Medicine AAAS shows that break-through AI could assess the risk of autism in 6-month-old infants using functional neuroimaging techniques.

Social deficiencies and  repetitive behaviors usually show itself before the age of 2 and it is extremely important to identify early signs of autism spectrum disorder and develop effective treatments that could potentially improve the health of the child in the long-term.

26 scientists in different fields from 9 Universities trained an artificial intelligence using  prospective imaging of 59 6-month-old infants with a high familial risk to autism spectrum disorder with the aim of accurately identifying which children would get a research clinical best-estimate diagnosis of ASD.

Study revealed that using functional connectivity magnetic resonance imaging, functioning neurons in the 6-month-old infant’s brain could be correlated with  a 24-month child’s scores who has ASD and compare the scores of social behavior, language, motor development, and repetitive behavior, which are all early signs of autism spectrum disorder.

A highly trained and cross validated AI was successfully and clinically be able to identify high autism risk with a 96% accuracy, with a confidence level of 95%.


AI in autism



Ref: sciencemag.org – IEEE.org – 3omega3.it – fashiongalleria.biz

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Mark Stables

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