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 …
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
In recent years, deep learning models have shown their advantages in neuroimage
analysis, such as brain disease diagnosis. Unfortunately, it is usually difficult to acquire …
analysis, such as brain disease diagnosis. Unfortunately, it is usually difficult to acquire …
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 …
[HTML][HTML] A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and …
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 …
challenges due to a disruption in brain development that impacts how they perceive and …
The diagnosis of ASD with MRI: a systematic review and meta-analysis
SJC Schielen, J Pilmeyer, AP Aldenkamp… - Translational …, 2024 - nature.com
While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the
current diagnostic practice involves observation-based criteria. This study is a systematic …
current diagnostic practice involves observation-based criteria. This study is a systematic …
Identification and analysis of autism spectrum disorder via large‐scale dynamic functional network connectivity
Autism spectrum disorder (ASD) is a prevalent neurodevelopmental disorder with severe
cognitive impairment. Several studies have reported that brain functional network …
cognitive impairment. Several studies have reported that brain functional network …
Multi-scale graph representation learning for autism identification with functional MRI
Y Chu, G Wang, L Cao, L Qiao, M Liu - Frontiers in Neuroinformatics, 2022 - frontiersin.org
Resting-state functional MRI (rs-fMRI) has been widely used for the early diagnosis of autism
spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are …
spectrum disorder (ASD). With rs-fMRI, the functional connectivity networks (FCNs) are …
[HTML][HTML] A Survey on Genetic Disease− Autism Spectrum Disorder Prediction and Classification in Machine Learning
A Kanchana, R Khilar - International Journal of Nutrition …, 2024 - journals.lww.com
Autism spectrum disorder (ASD) is a hereditary, neurological condition with many
aetiologies that manifest in early childhood. Mental illnesses, including anxiety, poor …
aetiologies that manifest in early childhood. Mental illnesses, including anxiety, poor …
A benchmark of preprocessing strategies for autism classification from resting-state functional magnetic resonance imaging
Currently, the diagnosis of autism spectrum disorder (ASD) is a subjective behaviorally-
based process, which requires one or more professionals. In recent years, strategies based …
based process, which requires one or more professionals. In recent years, strategies based …