Latest AI and machine learning research in neurology for healthcare professionals.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by the pathologic...
BACKGROUND: Ischemic stroke (IS) is associated with high mortality and disability rates, and seconda...
PURPOSE: Motor imagery electroencephalography (MI-EEG) decoding remains challenging due to low signa...
Drug-resistant epilepsy (DRE) affects over 50 million individuals worldwide, yet surgical resection,...
BACKGROUND: Alzheimer's Disease (AD) is a complex neurodegenerative disorder, with women comprising ...
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder marked by progressive cognit...
Trigeminal neuralgia (TN) is a debilitating neuropathic pain disorder characterized by sudden, inten...
Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) poses significant challenges in therapeut...
BACKGROUND: Cerebral Palsy (CP) is the main cause of motor disabilities in childhood, necessitating ...
BACKGROUND: Consumer AI platforms are increasingly used by patients to interpret medical reports, in...
PURPOSE: To develop and evaluate a deep learning model that predicts OCT-equivalent retinal nerve fi...
PURPOSE: The advancement of decision support systems for pathology and their implementation in clini...
The dual activating potential of peroxisome proliferator-activated receptors (PPAR) α and γ offers a...
OBJECTIVES/BACKGROUND: Migraine is a disabling neurological disorder with substantial interindividua...
Alzheimer's disease (AD) is a common neurodegenerative disorder. Compared to the limited specificity...
BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebr...
BackgroundDigital speech analysis affords robust markers of Parkinson's disease (PD). However, most ...
Lysine β-hydroxybutyrylation (Kbhb) is an emerging post-translational modification regulated by β-hy...
Accurate recognition of human emotions from electroencephalogram (EEG) signals is fundamental to aff...
OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options compli...
Electroencephalography (EEG)-based motor imagery classification plays an important role in brain-com...