Latest AI and machine learning research in neurology for healthcare professionals.
As a crucial type of post-translational modification, glycosylation plays a fundamental role in main...
BACKGROUND: Electroencephalogram (EEG) microstates effectively characterise cognitive-related brain ...
The electroencephalogram (EEG) provides a direct measure of brain electrical activity but is typical...
BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic ...
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, ...
BACKGROUND: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) offers an a...
OBJECTIVE: To construct a machine learning model using contrast-enhanced CT radiomics and clinical i...
INTRODUCTION: Cardiovascular and cerebrovascular diseases (CCVDs) pose a severe global health threat...
BACKGROUND: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and confers a f...
White matter diseases encompass a heterogeneous spectrum of central nervous system disorders, with n...
BACKGROUND: Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic st...
BACKGROUND: Medication adherence is a critical challenge for people living with dementia and their c...
Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic ...
BACKGROUND: The triglyceride-glucose (TyG) index has increasingly been recognised an indicator for s...
Systemic vascular and neurodegenerative disorders are important causes of disability and death world...
INTRODUCTION: Post-stroke epilepsy (PSE) is a common complication following a stroke and is a major ...
BACKGROUND: The development of disease-modifying therapies for Huntington's disease (HD) necessitate...
OBJECTIVE: To investigate the diagnostic value of subcortical texture features from T1-weighted MRI ...
MOTIVATION: Serial section Electron Microscopy (ssEM) is essential for studying biological cell stru...
OBJECTIVE: This study aimed to develop a deep learning (DL) model for the detection of cervical spin...
In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnet...