Latest AI and machine learning research in neurology for healthcare professionals.
Segmentation of spinal nerve rootlets is relevant for spinal level estimation, lesion classification...
Chronic low back pain (CLBP) is a prevalent condition with unclear pathophysiology and substantial s...
Variability in Alzheimer's disease (AD) clinical presentation complicates mechanistic studies and th...
BACKGROUND: Percutaneous closure of patent foramen ovale (PFO) reduces the risk of recurrent stroke ...
BACKGROUND: Daydreaming can be monitored either to avoid it while doing hands-on tasks or to enhance...
BACKGROUND: Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can b...
INTRODUCTION: Circadian rhythm disruption (CRD) is a major driver of immune dysregulation; however, ...
BACKGROUND: Disability assessment in dementia is important for care planning, but the full World Hea...
INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among...
Electroencephalography (EEG) has emerged as a powerful tool for modeling human brain states. However...
Electroencephalography (EEG) feature learning is crucial for brain-machine interfaces and medical di...
BACKGROUND: Cognitive impairment is common in multiple sclerosis (MS), yet the application of diagno...
BACKGROUND: Stroke remains a leading cause of long-term disability worldwide, and rehabilitation is ...
INTRODUCTION: Accurate clinical diagnosis of neurodegenerative diseases remains challenging, particu...
INTRODUCTION: Dementia is increasing rapidly in Latin America and the Caribbean (LAC), but research ...
OBJECTIVE: To evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained wi...
INTRODUCTION: Emergent electroencephalography (emEEG) is increasingly employed in the emergency depa...
Deep learning architectures are now widely applied in sleep electroencephalogram (EEG) analysis. The...
PURPOSE OF REVIEW: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and at...
Emotion Recognition in Conversation (ERC) is valuable for diagnosing health conditions such as autis...
Neuroimaging plays a critical role in the diagnosis of Alzheimer's disease (AD), with Magnetic Reson...