the University of North Carolina has helped researchers at Artificial Intelligence create a deep learning algorithm which can predict autism in babies. It has an accuracy rate of 81% and is able to use brain scans in concert with three other indicators in order to make its predictions: brain surface area; the brain's volume; and the gender of the baby, as typically boys are more prone than girls to developing autism.
Artificial Intelligence has helped researchers at the University of North Carolina create a deep learning algorithm which can predict autism in babies. It has an accuracy rate of 81% and is able to use brain scans in concert with three other indicators in order to make its predictions: brain surface area; the brain's volume; and the gender of the baby, as typically boys are more prone than girls to developing autism.