Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Diffusion-weighted imaging (DWI) infarct volume and infarct growth are important imaging...
Functional magnetic resonance imaging (fMRI) derived functional connectivity (FC) is represented as ...
Lysosomal dysfunction is a defining feature of multiple neurodegenerative diseases, including amyotr...
Classification of fallers in Parkinson's disease (PD) is challenging due to the heterogenous motor a...
PURPOSE: Tooth pattern and surrounding tissue can affect the complexity of third molar (3M) extracti...
This study presents a robust, green, sustainable and time-efficient approach for the simultaneous de...
Chronic craniofacial pain can lead to significant morbidity and reduced quality-of-life. Refractory ...
Imaging after ischemic and hemorrhagic stroke may allow measurement of key phenotypes of injury and ...
Purpose: Traditional wheelchair controls often limit independence and pose safety risks for motor-im...
Delayed diagnosis of Parkinson's disease (PD) due to undetectable early pathological changes remains...
INTRODUCTION: To evaluate the progress of artificial intelligence (AI)-based tools in interpreting c...
Alzheimer's disease (AD) is a leading neurodegenerative disorder and the primary cause of dementia, ...
Rapid serial visual presentation (RSVP) enables efficient electroencephalography (EEG)-based brain-c...
BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persiste...
BACKGROUND: While elevated symptom severity in obsessive-compulsive disorder (OCD) is associated wit...
OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischem...
Carpal tunnel syndrome (CTS), the most prevalent entrapment neuropathy of the upper extremities, pre...
BACKGROUND: Reading impairments are common in stroke-induced aphasia and limit participation in func...
Motion sensing technology can be utilized to capture detailed upper extremity (UE) motion to reconst...
PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI)...
Early and precise identification of Parkinson's disease (PD) is crucial for clinical intervention. R...