Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagno...
OBJECTIVE: To develop an artificial intelligence (AI)-aided dual-task gait test model for scalable, ...
BACKGROUND: Post-stroke upper limb motor dysfunction is associated with complex alterations in brain...
CONTEXT AND IMPORTANCE: With over 300 million surgeries performed under general anaesthesia annually...
BackgroundAlthough studies have explored tea and coffee in relation to Alzheimer's disease, no centu...
BackgroundPost-stroke cognitive impairment (PSCI) is a major vascular contributor to dementia, signi...
Attention-Deficit/Hyperactivity Disorder (ADHD) is a widely recognized neurodevelopmental disorder c...
PURPOSE: The diagnosis of Degenerative cervical myelopathy (DCM) relies on clinical evaluation and c...
Epilepsy surgery in language areas is challenged by the intricacies of presurgical workup and surgic...
BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultat...
PRCIS: Machine learning classifiers combining OCT-derived minimum rim width and retinal nerve fiber ...
Over the past 35 years, my work has focused on developing and studying robotic technologies to promo...
NOD-Like Receptor Protein-3 (NLRP3) inflammasome emerged as a crucial therapeutic target in epilepsy...
Alzheimer disease (AD) and Postoperative delirium (POD) may share a common mechanism, but their shar...
The European research landscape for developing new diagnostic, preventive, and therapeutic intervent...
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder with no definitive c...
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring m...
This study presents a compact neuron device based on a PN heterojunction neuron to enable hardware-l...
OBJECTIVE: Medullary gliomas pose significant surgical risks, particularly the risk of postoperative...
This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly ta...
Humans exhibit a remarkable capacity to concentrate on particular auditory inputs amid multiple simu...