Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: To assess the effect of the combination of deep learning reconstruction (DLR) and time-r...
OBJECTIVE: To construct an Alzheimer's Disease Knowledge Graph (ADKG) by extracting and integrating ...
Building a brain-computer interface (BCI) based on motor imagery (MI) requires accurately decoding M...
The flexor synergy after stroke results in involuntary activation of distal muscles when lifting the...
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients wi...
Epilepsy is diagnosed when neural networks become capable of generating excessive or hypersynchronou...
RATIONALE AND OBJECTIVES: Brachial plexopathies (BPs) encompass a complex spectrum of nerve injuries...
Glaucoma is a progressive eye condition caused by high intraocular fluid pressure, damaging the opti...
Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear...
OBJECTIVE: Temporale lobe and occipito-temporal cortical areas play an important role in facial emot...
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...
Accurate segmentation of cerebral arteries on computed tomography angiography (CTA) images is essent...
Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. ...
Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the...
Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...
Parkinson's disease (PD) is a neurodegenerative condition that progressively affects motor function ...
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and l...
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the b...
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 ...
The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer's disease...