Neurology

Autism

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

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The Role of Artificial Intelligence in Identifying Gene Variants and Improving Diagnosis.

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, t...

May 2025 40428382
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype

Predicting genetic perturbations enables the identification of potentially crucial genes prior to ...

Gene finding revisited: improved robustness through structured decoding from learned embeddings

Gene finding is the task of identifying the locations of coding sequences within the vast amount o...

The use of Artificial Intelligence for Intervention and Assessment in Individuals with ASD

This paper explores the use of Artificial Intelligence (AI) as a tool for diagnosis, assessment, a...

Content and Quality Analysis of Parent-Facing Applications for Feeding Children with Autism Spectrum Disorder

Approximately 1 in 100 children worldwide are diagnosed with Autism Spectrum Disorder (ASD), and 4...

Optimizing Treatment: The Role of Pharmacology, Genomics, and AI in Improving Patient Outcomes.

Recent advances in pharmacology are revolutionizing drug discovery and treatment strategies through ...

May 2025 40285487
Real-Time Imitation of Human Head Motions, Blinks and Emotions by Nao Robot: A Closed-Loop Approach

This paper introduces a novel approach for enabling real-time imitation of human head motion by a ...

Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks

This paper introduces an enhanced Genetic Algorithm technique called Dual-Individual Genetic Algor...

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data

Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg

Magnetic resonance imaging (MRI) has played a crucial role in fetal neurodevelopmental research. S...

Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis

Neuro-developmental disorders are manifested as dysfunctions in cognition, communication, behaviou...

A Confounding Factors-Inhibition Adversarial Learning Framework for Multi-site fMRI Mental Disorder Identification

In open data sets of functional magnetic resonance imaging (fMRI), the heterogeneity of the data i...

The Pepper Robot in Healthcare: A Scoping Review.

Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing ...

Apr 2025 40200454
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation

Accurate segmentation of coronary Digital Subtraction Angiography images is essential to diagnose ...

Classification of ADHD and Healthy Children Using EEG Based Multi-Band Spatial Features Enhancement

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in childre...

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks

Quantifying functional connectivity (FC), a vital metric for the diagnosis of various brain disord...

AD-GPT: Large Language Models in Alzheimer's Disease

Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet...

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