Latest AI and machine learning research in neurology for healthcare professionals.
PURPOSE: To develop and evaluate orbital CT deep learning (DL) models in optic neuropathy (ON) predi...
Computational Neuroscience (CN) is an interdisciplinary field that combines neuroscience, mathematic...
Chronic pain affects approximately 20% of the global population, leading to significant disability a...
This paper presents a Brain Computing Interface (BCI) system utilizing Electroencephalography (EEG) ...
AIMS: BoneFinder is a machine-learning tool that can automatically calculate Reimers migration perce...
Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migrat...
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiologic...
OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. ...
BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observ...
Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with h...
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EE...
BACKGROUND: The connection between cognition, eye, and brain remains inconclusive in Alzheimer's dis...
BACKGROUND: Cerebral perivascular spaces (PVS) are involved in cerebrospinal fluid (CSF) circulation...
INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and no...
BACKGROUND: Prompt diagnosis of acute central retinal artery occlusion (CRAO) is crucial for therape...
Dysregulation of lipid metabolism is increasingly recognized as a key factor in the pathogenesis of ...
Accurate and robust recording and decoding from the central nervous system (CNS) is essential for ad...
Deep brain stimulation (DBS) has garnered widespread use as an effective treatment for advanced Park...
BACKGROUND AND PURPOSE: Identifying amyloid-beta (Aβ)-positive patients is essential for Alzheimer's...
OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical ...
Neurons in the brain are known to encode diverse information through their spiking activity, primari...