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 88 percent 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.