Latest AI and machine learning research in neurology for healthcare professionals.
Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...
The process of protein aggregation, central to neurodegenerative diseases like Huntington's, is chal...
BACKGROUND: In an extended time window, contrast-based neuroimaging is valuable for treatment select...
Neurophysiological recordings and histological examinations, along with behavioral observations, are...
BACKGROUND AND OBJECTIVES: Adequate understanding of health information has been shown to be a stron...
BACKGROUND: The differentiation between multiple system atrophy (MSA) and Parkinson's disease (PD) b...
. Nearly one-third of stroke patients develop aphasia. Although the function of classical language a...
The von Neumann architecture faces significant challenges in meeting the growing demand for energy-e...
Delirium is a severe and common complication among critically ill patients, particularly those with ...
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the abs...
BACKGROUND AND OBJECTIVES: Meningitis diagnosis requires a lumbar puncture (LP) to obtain cerebrospi...
Electroencephalography (EEG) connectomes offer powerful tools for studying brain connectivity and ad...
Recent advances in artificial intelligence (AI) have made it possible to detect neurodegenerative di...
BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation strok...
Reconstruction of perceptual experiences from brain activity offers a unique window into how populat...
Sleep staging is a crucial method for the evaluation of sleep quality and the diagnosis of sleep dis...
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenici...
UNLABELLED: Cerebral palsy (CP) is the most common lifelong physical disability, affecting millions ...
Predicting the progression of asymptomatic large-artery atherosclerosis (LAA) to acute ischemic stro...
To address the limitations of silicon-based devices in neuromorphic computing, this study proposes a...
Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...