Predicting Autism Early Using Developmental Surveillance Data

JAMA Network

About The Study: In this study of nearly 1.2 million children, prediction models achieved high performance in predicting the likelihood of autistic spectrum disorder, using information from routine developmental assessments. This tool may be seamlessly integrated in the clinical workflow to improve early identification of children who may benefit from timely interventions.

Authors: Guy Amit, Ph.D., of the KI Research Institute in Kfar Malal, Israel, is the corresponding author.

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(doi:10.1001/jamanetworkopen.2023.51052)

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