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 …

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 …

Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …

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

Autism spectrum disorder is a group of disorders marked by difficulties with social skills,
repetitive activities, speech, and nonverbal communication. Deficits in paying attention to …

Background: The early diagnosis of autism spectrum disorder (ASD) is highly desirable but
remains a challenging task, which requires a set of cognitive tests and hours of clinical …

The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures
addressed to children and caregivers. Such methods rely on the evaluation of behavioural …

Abstract Autism Spectrum Disorder is a developmental disorder characterized by a deficit in
social behaviour and specific interactions such as reduced eye contact and body gestures …

Eye tracking provides a quantitative measure of eye movements during different activities.
We report the results from a bibliometric analysis to investigate trends in eye tracking …

Autism spectrum disorder (ASD) is a lifelong condition generally characterized by social and
communication impairments. The early diagnosis of ASD is highly desirable, and there is a …