Digital technologies have the potential to support psychiatric diagnostics and, in particular,
differential diagnostics of autism spectrum disorder in the near future, making clinical …

The aim of this systematic review is to identify recent digital technologies used to detect early
signs of autism spectrum disorder (ASD) in preschool children (ie, up to six years of age). A …

Difficulty in understanding the feelings and behavior of other people is considered one of the
main symptoms of autism. Computer technology has increasingly been used in interventions …

Deep neural networks are successful learning tools for building nonlinear models. However,
a robust deep learning-based classification model needs a large dataset. Indeed, these …

Autism spectrum disorder (ASD) is mainly described as a disorder of communication and
socialization. However, motor abnormalities are also common in ASD. New technologies …

Introduction Over the last decade of research, a notable connection between autism
spectrum disorder (ASD) and unique motor system characteristics has been identified, which …

In this paper, we provide a survey that explores the application of the Internet of Things (IoT)
to diagnose Autism Spectrum Disorder (ASD). This disorder represents several limitations in …

One of the key challenges in autism is early diagnosis. Early diagnosis leads to early
interventions that improve the condition and not worsen autism in the future. Currently …

The importance of early diagnosis of autism that leads to early intervention such thing shall
increase the results of treating it. The Autism Spectrum Disorder (ASD) affects the children …

Autism like other diseases requires early cure in order to magnify the remedy's results. The
impact of Autism Spectrum Disorder (ASD) is embodied in the following things: the inability …