Latest AI and machine learning research in neurology for healthcare professionals.
Stroke has a multifactorial etiology, and phthalates, as widely used environmental chemicals, may pl...
RESEARCH BACKGROUND: Parkinson's Disease (PD) requires accurate severity prediction models for enabl...
BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognost...
Acute spinal cord injury (SCI) remains a life-threatening condition associated with substantial morb...
PURPOSE: This study explores the potential of Natural Language Processing (NLP) tools, specifically ...
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the lead...
This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) ...
The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advanc...
Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet mo...
BACKGROUND AND OBJECTIVE: Status epilepticus is a life-threatening neurological emergency. Ketamine ...
Malignant stroke is a life-threatening condition, with mortality rates reaching up to 80% among pati...
Early identification of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment ...
Drug-resistant epilepsy (DRE) is a complex neurological disease that accounts for 30%-40% of all epi...
Introduction: Ischemic stroke is a leading cause of mortality, and patients requiring intensive care...
This pilot study explored how adult day centers can serve as transformative clinical learning enviro...
OBJECTIVE: To delineate morphometric similarity network (MSN) topological abnormalities and their un...
INTRODUCTION: Hydrocephalus is a common pediatric neurological disorder characterized by abnormal he...
Developing diagnostic biomarkers for Alzheimer's disease (AD) is at the cutting edge of interdiscipl...
BACKGROUND: People with stroke face a high mortality risk, and an accurate prediction model is essen...
the characterization of neural activity underlying neurophysiological function presents a major chal...
BACKGROUND: Multiple Sclerosis (MS) is a chronic autoimmune disease where early diagnosis from Clini...