Latest AI and machine learning research in neurology for healthcare professionals.
Early diagnosis of Alzheimer's disease (AD) is crucial for timely intervention but remains challengi...
Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (b...
Machine learning can unravel heterogeneous patterns of brain aging and neurodegeneration, but existi...
Chorea is a hallmark of Huntington's disease (HD), yet its clinical assessment is of limited reliabi...
Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their...
The human brain is responsible for a wide range of a person's behavioral and cognitive capabilities....
Alzheimer's disease (AD) is an irreversible neurodegenerative syndrome that affects memory, cognitiv...
In this study, we present a novel Physics-Informed Neural Network (PINN) framework that reconstructs...
OBJECTIVE: Depression is a leading cause of global disability, motivating the development of objecti...
The concept of brain reserve offers a framework for understanding the mechanisms of cognitive resili...
OBJECTIVE: To explore the current research landscape and emerging frontiers in the application of no...
BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the most common vascular contribut...
Schizophrenia is a chronic psychiatric disorder for which electroencephalography (EEG) offers a low-...
BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient...
BACKGROUND/OBJECTIVES: Characterizing spinal cord multiple sclerosis (MS) lesions in MRI is critical...
IntroductionEEGLAB is a widely used software for analyzing electroencephalography (EEG) datasets, wi...
PURPOSE: Digital Subtraction Angiography (DSA) is an X-ray-based imaging modality intimately related...
Stroke is a leading cause of mortality worldwide, with hypertension being its most significant risk ...
BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (M...
UNLABELLED: This study aims to evaluate the reliability, quality, and readability of ChatGPT-4's res...
Radiologically Isolated Syndrome (RIS) is characterized by incidental MRI findings indicative of mul...