Neurology

Autism

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

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Showing 1849-1869 of 9,821 articles
Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.

Fetal ventriculomegaly (VM) and its severity and associated central nervous system (CNS) abnormaliti...

Mar 2025 39969279
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...

Mar 2025 40035168
[Prophylactic surgery and genetic counselling: What impact of the artificial intelligence?].

In the area of cancer predisposition, certain situations may lead to the discussion of prophylactic ...

Mar 2025 40049793
Forestwalk: A Machine Learning Workflow Brings New Insights Into Posture and Balance in Rodent Beam Walking.

The beam walk is widely used to study coordination and balance in rodents. While the task has etholo...

Mar 2025 40070112
Hypergraph Multi-Modal Learning for EEG-based Emotion Recognition in Conversation

Emotional Recognition in Conversation (ERC) is an important method for diagnosing health condition...

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis

Developing interpretable models for diagnosing neurodevelopmental disorders (NDDs) is highly valua...

Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder impacting social and behavioral de...

Unsupervised Clustering Approaches for Autism Screening: Achieving 95.31% Accuracy with a Gaussian Mixture Model

Autism spectrum disorder (ASD) remains a challenging condition to diagnose effectively and promptl...

Giving AI Personalities Leads to More Human-Like Reasoning

In computational cognitive modeling, capturing the full spectrum of human judgment and decision-ma...

Genetic Data Governance in Crisis: Policy Recommendations for Safeguarding Privacy and Preventing Discrimination

Genetic data collection has become ubiquitous today. The ability to meaningfully interpret genetic...

Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data

Cancer evolves continuously over time through a complex interplay of genetic, epigenetic, microenv...

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex...

Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space

Increasing the volume of training data can enable the auxiliary diagnostic algorithms for Autism S...

SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers

$\textbf{Background}$: Cancer remains one of the leading causes of morbidity and mortality worldwi...

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alz...

Feb 2025 39756421
The role of the dopamine system in autism spectrum disorder revealed using machine learning: an ABIDE database-based study.

This study explores the diagnostic value of dopamine system imaging characteristics in children with...

Feb 2025 40036245
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis

Resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectiv...

FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI

Diffusion MRI (dMRI) provides unique insights into fetal brain microstructure in utero. Longitudin...

BrainOOD: Out-of-distribution Generalizable Brain Network Analysis

In neuroscience, identifying distinct patterns linked to neurological disorders, such as Alzheimer...

SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention Tasks

Self Supervised Representation Learning (SSRepL) can capture meaningful and robust representations...

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