Latest AI and machine learning research in neurology for healthcare professionals.
Microelectrode arrays (MEAs) are widely used platforms for monitoring neuronal activity in biologica...
Dementia is a progressive neurodegenerative disorder affecting millions of people worldwide. Early p...
Accurate prediction of early functional outcome after acute ischemic stroke is critical for clinical...
Headache disorders present diagnostic challenges due to their clinical heterogeneity and the extensi...
This scoping review explores how machine learning (ML) has been applied to stroke research within th...
Cerebral vasospasm is a serious complication after aneurysmal subarachnoid haemorrhage (aSAH). We tr...
The clinical use of electroencephalography (EEG) for neuro-prognostication in neurocritical care rem...
Parkinson's disease (PD) is a common neurological disorder that can severely affect the patient's qu...
Cognitive impairment is a frequent, disabling symptom of multiple sclerosis (MS). Digital interventi...
Sequences of healthcare events from claims data are increasingly used for predictive modeling. Despi...
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder characterized by progressi...
Alterations in the gut microbiome have been increasingly implicated in Parkinson's disease (PD), but...
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care...
Timely and accurate detection of seizures from Electroencephalogram (EEG) signals is critical for th...
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine t...
BACKGROUND AND OBJECTIVES: Proximal junctional kyphosis (PJK) and proximal junctional failure (PJF) ...
BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkins...
Spinal cord injury (SCI) profoundly impairs patients' quality of life and imposes a substantial econ...
Background: Rapid and accurate identification of stroke subtype is critical for timely intervention,...
Subject-independent emotion recognition from electroencephalography (EEG) is constrained by nonlinea...
OBJECTIVE: This study investigated neurophysiological and behavioural adaptations in reward learning...