Latest AI and machine learning research in autism for healthcare professionals.
We investigated whether machine learning methods could potentially identify a subgroup of persons wi...
Effective utilization of multi-center data for autism spectrum disorder (ASD) diagnosis recently has...
Near-infrared (NIR) spectral sensors deliver the spectral response of the light absorbed by material...
Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can su...
Deep learning has become the new state-of-the-art for many problems in image analysis. However, larg...
BACKGROUND: A growing body of anecdotal evidence indicates that the use of robots may provide unique...
The genetic analysis of complex traits does not escape the current excitement around artificial inte...
Autism Spectrum Disorder (ASD) affects approximately 1% of the population and leads to impairments i...
We present a new method to identify anatomical subnetworks of the human connectome that are optimall...
Although standard behavioral interventions for autism spectrum disorder (ASD) are effective therapie...
The main aim of this research work was to develop and validate a novel graphical user interface base...
The identification of disease-related genes and disease mechanisms is an important research goal; ma...
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. Gen...
Algorithms that learn through environmental interaction and delayed rewards, or reinforcement learni...
Route optimization of hazardous materials transportation is one of the basic steps in ensuring the s...
Autism spectrum disorder (ASD) is an age- and sex-related neurodevelopmental disorder that alters th...
Genome-wide association studies (GWAS) have successfully discovered a number of disease-associated g...
Graphs are widely used as a natural framework that captures interactions between individual elements...
BACKGROUND: Past studies have shown that robot-based intervention was effective in improving gestura...
Deep neural networks are increasingly being used in both supervised learning for classification task...
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integr...