Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

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 …

Brain functional connectivity (FC) derived from resting-state functional magnetic resonance
imaging (rs-fMRI) has been widely employed to study neuropsychiatric disorders such as …

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 …

Clinical research in autism has recently witnessed promising digital phenoty** results,
mainly focused on single feature extraction, such as gaze, head turn on name-calling or …

Individuals with autism spectrum disorder (ASD) have social interaction and communication
challenges due to a disruption in brain development that impacts how they perceive and …

Biomarkers, such as magnetic resonance imaging (MRI) and electroencephalogram have
been used to help diagnose autism spectrum disorder (ASD). However, the diagnosis needs …

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 …

Medical diagnosis supported by computer-assisted technologies is getting more popularity
and acceptance among medical society. In this paper, we propose a non-intrusive vision …