Latest AI and machine learning research in neurology for healthcare professionals.
INTRODUCTION: Acute ischemic stroke (AIS) represents a major global contributor to mortality and chr...
BACKGROUND: Parkinson's disease (PD) and essential tremor (ET) are prevalent movement disorders with...
PURPOSE: To use the machine learning algorithm archetypal analysis (AA) to characterize visual field...
PURPOSE: To examine the readability and linguistic characteristics of Alzheimer's disease and relate...
BACKGROUND: Dizziness and vertigo are common emergency department (ED) presentations, but only 2%-5%...
Inflammatory rheumatic diseases (IRDs) represent a significant risk factor for cerebrovascular event...
Parkinson's disease (PD) diagnosis remains challenging because subtle neural alterations may be diff...
Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitali...
Brain imaging genetics generally combines genotype data with brain structure and functional measures...
Neuron segmentation in complex mouse brain images improves neuron reconstruction and supports studie...
OBJECTIVE: The traditional kinetic model (TKM) for perfusion quantification from arterial spin label...
EMG-based state estimation and prediction in human-machine interaction,biomechanics, and robotics ap...
BACKGROUND: Scoliosis is a spinal disorder characterized by a three-dimensional (3D) deformity of th...
The human brain maintains functional stability under changing conditions through interacting process...
Multi‑site magnetic resonance imaging (MRI) studies enable studying brain structure across diverse p...
This paper introduces TESSCCo (TV-control EEG-based Silent Speech Command Corpus), a new dataset inc...
OBJECTIVE: This study aims to support early diagnosis of Alzheimer's disease and detection of amyloi...
The increasing availability of large electroencephalography (EEG) datasets enhances the potential cl...
Characterizing associations between individual differences in brain activity and behavior remains a ...
Epileptic seizure prediction is a critical research area that enables timely intervention and preven...
IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effec...