Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

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 …

Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

Background Previous studies have shown promising results in identifying individuals with
autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data …

Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …

Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …

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 …

Accurate and efficient detection of attention-deficit/hyperactivity disorder (ADHD) is critical to
ensure proper treatment for affected individuals. Current clinical examinations, however, are …

To identify newborns at risk of developing ASD and to detect ASD biomarkers early after
birth, we compared retrospectively ultrasound and biological measurements of babies …

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 …