Autism spectrum disorder (ASD) is a heterogeneous, behaviorally defined
neurodevelopmental disorder. Over the past two decades, the prevalence of autism …

The integration of artificial intelligence (AI) into the diagnosis and treatment of autism
spectrum disorder (ASD) represents a promising frontier in healthcare. This review explores …

In this paper, the proposed work implements and tests the computer vision applications to
perform the skill and emotion assessment of children with Autism Spectrum Disorder (ASD) …

The deployment of wearable wireless systems that collect physiological indicators to aid in
diagnosing neurological disorders represents a potential solution for the new generation of …

Machine learning (ML) has shown great promise in genetics and genomics where large and
complex datasets have the potential to provide insight into many aspects of disease risk …

Down syndrome (DS) or trisomy 21 is the most common genetic cause of intellectual
disability (ID), but a pathogenic mechanism has not been identified yet. Studying a complex …

Intellectual disability (ID) poses formidable challenges to individuals in acquiring knowledge
and performing daily activities. This condition often stems from a variety of factors, such as …

The process of identification and management of neurological disorder conditions faces
challenges, prompting the investigation of novel methods in order to improve diagnostic …

Rett Syndrome (RTT) is a complex neurodevelopmental disorder that has multi-system
involvement with co-occurring epilepsy, breathing problems and autonomic dysregulation …

Language pedagogy is increasingly tailored to meet individual learning needs through the
use of Artificial Intelligence. Informed by Hart's (2018) framework, this concept paper …