Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

12,789 articles
Stay Ahead - Weekly Autism research updates
Subscribe
Browse Specialties
Showing 253-273 of 12,789 articles
Automated segmentation of the dorsal root ganglia in MRI.

The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in soma...

Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach.

Recent studies indicate the potential benefits of robot-assisted therapy (RAT) for children on the a...

M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis.

Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysi...

Automated Autism Assessment With Multimodal Data and Ensemble Learning: A Scalable and Consistent Robot-Enhanced Therapy Framework.

Navigating the complexities of Autism Spectrum Disorder (ASD) diagnosis and intervention requires a ...

Association of the characteristics of brain magnetic resonance imaging with genes related to disease onset in schizophrenia patients.

BACKGROUND: Schizophrenia (SCH) is a complex neurodevelopmental disorder, whose pathogenesis is not ...

Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

In the field of treatment and prevention of immune-related bone diseases, significant challenges per...

Integrating Deep Learning Models with Genome-Wide Association Study-Based Identification Enhanced Phenotype Predictions in Group A .

Group A (GAS) is a major pathogen with diverse clinical outcomes linked to its genetic variability,...

Who Tweets for the autistic community? A natural language processing-driven investigation.

The formation of autism advocacy organisations led by family members of autistic individuals led to ...

Hybrid CNN and random forest model with late fusion for detection of autism spectrum disorder in Toddlers.

Accurate and early diagnosis of Autism Spectrum Disorder (ASD) in toddlers is crucial for effective ...

Development of an external quality assurance (EQA) structure to evaluate the quality of genetic pathology reporting.

A standard for reporting genetic pathology results currently does not exist as a consensus. While ef...

Automated ADHD detection using dual-modal sensory data and machine learning.

This study explores using dual-modal sensory data and machine learning to objectively identify Atten...

Two-tier nature inspired optimization-driven ensemble of deep learning models for effective autism spectrum disorder diagnosis in disabled persons.

Autism spectrum disorder (ASD) includes a varied set of neuropsychiatric illnesses. This disorder is...

Assessment for antibiotic resistance in : A practical and interpretable machine learning model based on genome-wide genetic variation.

() antibiotic resistance poses a global health threat. Accurate identification of antibiotic resist...

Capsule DenseNet++: Enhanced autism detection framework with deep learning and reinforcement learning-based lifestyle recommendation.

Autism Spectrum Disorder (ASD) is a complex neurological condition that impairs the ability to inter...

Student dropout prediction through machine learning optimization: insights from moodle log data.

Student attrition and academic failure remain pervasive challenges in education, often occurring at ...

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning-Based Advanced Perspectives.

Mental disorders are a representative type of brain disorder, including anxiety, major depressive de...

A randomized controlled trial of the effects of dog-assisted versus robot dog-assisted therapy for children with autism or Down syndrome.

Research with controlled or crossover designs in animal-assisted therapy have largely used control g...

Browse Specialties