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Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …
symptoms that appear in early childhood. ASD is also associated with communication …
Deep learning with image-based autism spectrum disorder analysis: A systematic review
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …
Systematic reviews of machine learning in healthcare: a literature review
K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …
Role of artificial intelligence for autism diagnosis using DTI and fMRI: A survey
Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …
[PDF][PDF] Detection of autism spectrum disorder using a 1-dimensional convolutional neural network
Abstract Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease
that impairs speech, social interaction, and behavior. Machine learning is a field of artificial …
that impairs speech, social interaction, and behavior. Machine learning is a field of artificial …
Machine learning approaches to the identification of children affected by prenatal alcohol exposure: a narrative review
Fetal alcohol spectrum disorders (FASDs) affect at least 0.8% of the population globally. The
diagnosis of FASD is uniquely complex, with a heterogeneous physical and …
diagnosis of FASD is uniquely complex, with a heterogeneous physical and …
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network
BACKGROUND: Brain variations are responsible for developmental impairments, including
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
[PDF][PDF] Data mining for autism spectrum disorder detection among adults
Abstract Autism Spectrum Disorder (ASD) is one of the most common children's
neurodevelopmental disorders (NDD) with an estimated global incidence of 1% to 2 …
neurodevelopmental disorders (NDD) with an estimated global incidence of 1% to 2 …
Application of machine learning on eye-tracking data for autism detection: The case of high-functioning adults
Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental disorder which,
when diagnosed early, facilitates early intervention. However, the lack of objective …
when diagnosed early, facilitates early intervention. However, the lack of objective …