Latest AI and machine learning research in neurology for healthcare professionals.
PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease wi...
PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaph...
OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, ap...
BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depre...
Rapid evaluation, triage, and transport of patients with stroke for thrombolytics, thrombectomy, and...
BACKGROUND: Postoperative delirium (POD) is a prevalent complication in elderly surgical patients. I...
BACKGROUND: Gait intention is typically detected using electroencephalogram (EEG) and primarily focu...
BACKGROUND AND PURPOSE: To monitor multiple sclerosis (MS) progression, follow-up MRIs are used to d...
BACKGROUND: The Advanced Lung Cancer Inflammation Index (ALI) is a novel composite index that enable...
ObjectiveSince the pioneering work of Hans Berger in 1929 introducing the utility of human electroen...
BACKGROUND: Gait disturbance is a core feature of Parkinson's disease (PD), contributing to mobility...
OBJECTIVE: To investigate the performance of a deep learning machine vision-based model in identifyi...
BACKGROUND: Epilepsy affects approximately 70 million people worldwide, with a third of them being d...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaq...
Advancements in neuroimaging have facilitated unprecedented insights into brain connectivity, making...
Early detection of Alzheimer's disease (AD) is essential for effective clinical intervention and dis...
In complex auditory environments, individuals rely on selective auditory attention to focus on a tar...
INTRODUCTION/AIMS: Artificial intelligence (AI) has shown potential in analyzing electromyography (E...
Atrial fibrillation (AF) and heart failure (HF) frequently coexist, which leads to adverse clinical ...
BACKGROUND: The identification of anomalies in physiological time-series data, specifically ECG and ...
INTRODUCTION: In the Movement Disorder Society criteria for the diagnosis of Parkinson's disease (PD...