Latest AI and machine learning research in neurology for healthcare professionals.
BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related pe...
PURPOSE: Stroke-associated pneumonia (SAP), a critical complication of ischemic stroke, significantl...
This study introduces an advanced computational model for simulating surface electromyography (sEMG)...
Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) ac...
This article looks at the current state of aneurysm risk modeling, exploring the limitations of line...
BACKGROUND: Delayed or missed stroke diagnosis is associated with poor outcomes. We utilized natural...
Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular a...
Amyloid aggregates are pathological hallmarks of many human diseases, but how soluble proteins nucle...
. Common spatial patterns (CSPs) has been established as a powerful feature extraction method in EEG...
Alzheimer's disease (AD) is a common type of dementia, with mild cognitive impairment (MCI) being a ...
Rationale Integrating artificial intelligence (AI) into education has introduced transformative poss...
The Spiking Neural Network (SNN) is a third-generation neural network recognized for its energy effi...
This study presents an artificial intelligence enhanced screening platform, DeepBAM, which enables ...
BACKGROUND: Cerebral aneurysms are a type of cerebrovascular disease that poses a severe threat to l...
To enhance the differentiation between unipolar depression (UPD) and bipolar depression (BPD), this ...
PURPOSE: To create deep learning artificial intelligence (AI) models for predicting the development ...
BACKGROUND: The evolution in peri-ictal period (from pre-ictal to ictal phase) of seizures contains ...
INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of...
Tc-TRODAT-1 SPECT is effective for the early detection of Parkinson's disease (PD). However, SPECT i...
This study aims to enhance brain-computer interface (BCI) applications for individuals with motor im...
Reliable classification of cognitive states in longitudinal Alzheimer's Disease (AD) studies is crit...