Improvements in autism assessment tools are needed to speed access to treatment, while reducing disparities in autism diagnosis. Emerging technological approaches hold promise to enable earlier identification and diagnosis of ASD. These technologies include computer vision, biometrics and biomarkers, advanced imaging, and artificial intelligence. Data driven approaches such as machine learning or computer vision methods are detecting some of the most highly predictive behavioral features 6,7 of ASD.^32,33