Latest AI and machine learning research in neurology for healthcare professionals.
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients wi...
OBJECTIVE: Temporale lobe and occipito-temporal cortical areas play an important role in facial emot...
Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in diagnostic neurosurgery, enhanci...
Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...
Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. ...
The development of energy-efficient, brain-inspired neuromorphic computing demands advanced memory d...
Neuroblastoma presents a wide variety of clinical phenotypes, demonstrating different levels of beni...
Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...
Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...
Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function ...
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the b...
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...
INTRODUCTION: Children with Developmental Coordination Disorder (DCD) experience impairments beyond ...
The research aims to understand Alzheimer's genetic and immune landscapes using the amalgamation of ...
Alzheimer's Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, charact...
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...
PURPOSE: Cerebral digital subtraction angiography (DSA) is a standard imaging technique in image-gui...
Self-supervised learning (SSL) is a potent method for leveraging unlabelled data. Nonetheless, EEG s...
This study focuses on epilepsy detection using hybrid CNN-SVM and DNN-SVM models, combined with feat...