AIMC Topic: Autism Spectrum Disorder

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A deep learning model of dorsal and ventral visual streams for DVSD.

Scientific reports Nov 10, 2024
Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the brain. In particular, Convolutional Neural Networks (CNNs) offer state-of-the-art models of the ventral visual stream. Furthermore, no proposed model...
Models, Neurological Visual Perception Visual Pathways Neural Networks, Computer Autism Spectrum Disorder Deep Learning Humans
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Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder.

IEEE journal of biomedical and health informatics Nov 6, 2024
Poor sleep quality in Autism Spectrum Disorder (ASD) individuals is linked to severe daytime behaviors. This study explores the relationship between a prior night's sleep structure and its predictive power for next-day behavior in ASD individuals. Th...
Algorithms Autism Spectrum Disorder Female Humans Machine Learning Signal Processing, Computer-Assisted Male Sleep Adolescent Young Adult Child Adult
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Screening biomarkers for autism spectrum disorder using plasma proteomics combined with machine learning methods.

Clinica chimica acta; international journal of clinical chemistry Oct 29, 2024
BACKGROUND AND AIMS: Autism spectrum disorder (ASD) is a common neurodevelopmental disorder in children. Early intervention is effective. Investigation of novel blood biomarkers of ASD facilitates early detection and intervention.
Case-Control Studies Child, Preschool Child Female Male Proteomics Humans Machine Learning Biomarkers Autism Spectrum Disorder
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Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm.

Omics : a journal of integrative biology Oct 17, 2024
It is estimated that approximately one in every 100 children is diagnosed with autism spectrum disorder (ASD) around the globe. Currently, there are no curative pharmacological treatments for ASD. Discoveries on key molecular mechanisms of ASD are es...
Gene Expression Profiling Transcriptome Support Vector Machine Autism Spectrum Disorder Brain Random Forest Humans Algorithms
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Building and testing of a robotic intervention framework to enhancing the social engagement of children with autism spectrum disorder.

Disability and rehabilitation. Assistive technology Oct 8, 2024
PURPOSE: Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are being developed rapidly. This study aimed to develop and test a robotic intervention framework for children with ASD to ensure best practice.
Child Humans Robotics Autism Spectrum Disorder Social Interaction
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Video-audio neural network ensemble for comprehensive screening of autism spectrum disorder in young children.

PloS one Oct 3, 2024
A timely diagnosis of autism is paramount to allow early therapeutic intervention in preschoolers. Deep Learning tools have been increasingly used to identify specific autistic symptoms. But they also offer opportunities for broad automated detection...
Infant Deep Learning Child, Preschool Autism Spectrum Disorder Humans Mass Screening Female Neural Networks, Computer Video Recording Male
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Creating a diagnostic assessment model for autism spectrum disorder by differentiating lexicogrammatical choices through machine learning.

PloS one Sep 27, 2024
This study explores the challenge of differentiating autism spectrum (AS) from non-AS conditions in adolescents and adults, particularly considering the heterogeneity of AS and the limitations ofssss diagnostic tools like the ADOS-2. In response, we ...
Autism Spectrum Disorder Female Young Adult Humans Machine Learning Adult Adolescent Male Middle Aged
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Quantitative assessment of brain structural abnormalities in children with autism spectrum disorder based on artificial intelligence automatic brain segmentation technology and machine learning methods.

Psychiatry research. Neuroimaging Sep 16, 2024
RATIONALE AND OBJECTIVES: To explore the characteristics of brain structure in Chinese children with autism spectrum disorder (ASD) using artificial intelligence automatic brain segmentation technique, and to diagnose children with ASD using machine ...
Child, Preschool Child Magnetic Resonance Imaging Neuroimaging Brain Female Male Machine Learning Humans Autism Spectrum Disorder Artificial Intelligence
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DeepASD: a deep adversarial-regularized graph learning method for ASD diagnosis with multimodal data.

Translational psychiatry Sep 14, 2024
Autism Spectrum Disorder (ASD) is a prevalent neurological condition with multiple co-occurring comorbidities that seriously affect mental health. Precisely diagnosis of ASD is crucial to intervention and rehabilitation. A single modality may not ful...
Humans Neural Networks, Computer Neuroimaging Deep Learning Autism Spectrum Disorder Magnetic Resonance Imaging Brain Multimodal Imaging
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Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification.

Interdisciplinary sciences, computational life sciences Sep 10, 2024
Autism spectrum disorder (ASD) is a serious mental disorder with a complex pathogenesis mechanism and variable presentation among individuals. Although many deep learning algorithms have been used to diagnose ASD, most of them focus on a single modal...
Deep Learning Humans Neural Networks, Computer Algorithms Autism Spectrum Disorder Brain
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