Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Early detection of autism, a neurodevelopmental condition associated with challenges in
social communication, ensures timely access to intervention. Autism screening …

The core symptoms of autism spectrum disorder (ASD) mainly relate to social
communication and interactions. ASD assessment involves expert observations in neutral …

Early and objective autism spectrum disorder (ASD) assessment, as well as early
intervention are particularly important and may have long term benefits in the lives of ASD …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Clinical assessment procedures encounter challenges in terms of objectivity because they
rely on subjective data. Computational psychiatry proposes overcoming this limitation by …

Abstract Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease
that impairs speech, social interaction, and behavior. Machine learning is a field of artificial …

Background Early identification of autism spectrum disorder (ASD) improves long-term
outcomes, yet significant diagnostic delays persist. Methods A retrospective cohort of 449 …

Many symptoms of the autism spectrum disorder (ASD) are evident in early infancy, but ASD
is usually diagnosed much later by procedures lacking objective measurements. It is …