Abstract：The onset of autism spectrum disorder（ASD）is in early childhood. Early screening of ASD among infants and toddlers is the key to implement early intervention and improve prognosis. With the continuous development of information technology and medical informatization, the application of machine learning to early screening of ASD among infants and toddlers has attracted much attention and has shown its unique advantages. This paper reviews the research progress of machine learning in early screening of ASD among infants and toddlers, which aims to systematically understand the development trend and reflect the existing shortcomings, so as to provide reference for promoting early screening of ASD among infants and toddlers.
