Latest AI and machine learning research in neurology for healthcare professionals.
Vigilance state is crucial for the effective performance of users in brain-computer interface (BCI) ...
The burgeoning field of brain health research increasingly leverages artificial intelligence (AI) to...
INTRODUCTION: Whether plasma biomarkers play roles in predicting incident dementia among the general...
BACKGROUND: With the rise of artificial intelligence (AI) in the field of dementia biomarker researc...
In recent years, the robot assisted (RA) rehabilitation training has been widely used to counteract ...
Epilepsy is a chronic disease caused by repeated abnormal discharge of neurons in the brain. Accurat...
Human listeners have the ability to direct their attention to a single speaker in a multi-talker env...
INTRODUCTION: Due to the complex anatomy of the spine and the intricate surgical procedures involved...
Analysis of neuroimaging data (e.g., Magnetic Resonance Imaging, structural and functional MRI) play...
Alzheimer's is progressive and irreversible type of dementia, which causes degeneration and death of...
Randomized shallow/deep neural networks with closed form solution avoid the shortcomings that exist ...
Multimodal learning is widely used in automated early diagnosis of Alzheimer's disease. However, the...
Alzheimer's disease (AD) is a progressive brain disorder. Machine learning models have been proposed...
BACKGROUND: This study evaluated 2 different dual-task (DT) conditions during tandem gait (TG) to pr...
Parkinson's disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to di...
We developed a surgical support system that visualises important microanatomies using artificial int...
BACKGROUND/AIM: Motor neuron disease (MND) is a devastating neuron ailment that affects the motor ne...
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients wit...
BACKGROUND: Those receiving the diagnosis of multiple sclerosis (MS) over the next ten years will pr...
In this issue of Pediatric Research, Kota et al. evaluate a novel monitoring visual trend using deep...
Graph convolutional network (GCN) based on the brain network has been widely used for EEG emotion re...