Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Epilepsy affects approximately 50 million individuals worldwide, with 30% experiencing d...
BACKGROUND: EEG is widely used to identify neural markers, personalize treatments, and evaluate inte...
OBJECTIVE: While connectivity methods have been widely studied as predictors of recovery in chronic ...
Camel milk is vulnerable to adulteration due to its high value and limited supply. This study propos...
BACKGROUND: In vitro testing is a fundamental approach for advancing spinal biomechanics research. H...
Epilepsy is a complex neurological disorder characterized by pathological processes that unfold acro...
This study investigates the application of machine learning (ML) techniques combined with neuroimagi...
BackgroundEye movement is a vital indicator of neurodegenerative diseases, brain health, and behavio...
Acute ischemic stroke (AIS) is a major cause of long-term disability and mortality worldwide. Accura...
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has...
BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, inclu...
Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and function...
Dementia is a growing global health challenge, with the majority of individuals living with dementia...
BACKGROUND: Spatial neglect is a common visuospatial attention disorder following a stroke. To overc...
OBJECTIVE: Epileptic seizure classification using EEG signals remains a significant challenge due to...
OBJECTIVE: Alzheimer's disease, a progressive neurodegenerative disorder, involves neural, genetic, ...
Long-term physiological monitoring using wearable wireless systems represents a paradigm change in n...
The current literature on automatic seizure detection based on EEG has obtained significant accuracy...
Epilepsy is a neurological disorder of the brain that generates seizures due to abnormal electrical ...
Interictal epileptiform discharges (IEDs) are crucial for epilepsy diagnosis but are often undetecta...
Electroencephalography (EEG) emotion recognition plays a key role in improving human-machine interac...