Neurology

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

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Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients wi...

Demonstration of impaired facial emotion perception in temporal lobe epilepsy by theta responses in EEG.

OBJECTIVE: Temporale lobe and occipito-temporal cortical areas play an important role in facial emot...

Retinal Ischemic Perivascular Lesions (RIPLs) as Potential Biomarkers for Systemic Vascular Diseases: A Narrative Review of the Literature.

Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear...

The role of artificial intelligence in diagnostic neurosurgery: a systematic review.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in diagnostic neurosurgery, enhanci...

Application and optimization of the U-Net++ model for cerebral artery segmentation based on computed tomographic angiography images.

Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...

A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...

Altered static and dynamic functional network connectivity and combined Machine learning in asthma.

Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. ...

All-Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi-State Memory with Quantization for Efficient Neural Networks.

The development of energy-efficient, brain-inspired neuromorphic computing demands advanced memory d...

A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques.

Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of beni...

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...

Parkinson's disease detection using inceptionV3: A Deep learning approach.

Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function ...

TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments.

Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the b...

FusionXNet: enhancing EEG-based seizure prediction with integrated convolutional and Transformer architectures.

. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...

Developmental coordination disorder and cerebral visual impairment: What is the association?

INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond ...

Generative artificial intelligence, integrative bioinformatics, and single-cell analysis reveal Alzheimer's genetic and immune landscape.

The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...

A review of multimodal fusion-based deep learning for Alzheimer's disease.

Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...

Enhanced EEG-based Alzheimer's disease detection using synchrosqueezing transform and deep transfer learning.

The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...

perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography.

PURPOSE: Cerebral digital subtraction angiography (DSA) is a standard imaging technique in image-gui...

SS-EMERGE - self-supervised enhancement for multidimension emotion recognition using GNNs for EEG.

Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG s...

EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA.

This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feat...

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