Latest AI and machine learning research in neurology for healthcare professionals.
Ferroptosis, an iron-dependent regulated cell death form, is a key pathogenic mechanism in Alzheimer...
BACKGROUND AND OBJECTIVE: Worldwide, over 50 million people suffer from epilepsy, a neurological dis...
BACKGROUND: Heterogeneity in the long-term progression of Alzheimer's disease (AD) challenges the ef...
Aging is associated with widespread structural and functional changes in the brain including reduced...
BACKGROUND: Cognitive dysfunction is common in people with epilepsy (PWE). Although expectations exi...
Neurodegenerative diseases represent a major and growing clinical challenge due to their progressive...
Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resul...
Photon-counting detector CT myelography is an effective technique for the localization of spinal CSF...
Objective. Epilepsy is a chronic brain disorder characterized by recurrent seizures due to abnormal ...
STUDY DESIGN: Retrospective two-center external validation study conducted at two medical centers, c...
BACKGROUND: Magnetic resonance imaging (MRI) in children requires multiple sequences, leading to len...
OBJECTIVE: This paper presents a two-stage machine learning model for electrographic seizure detecti...
Epilepsy is the fourth most common neurological disorder, and seizures significantly impact quality ...
Auditory-evoked EEG signals contain rich temporal and cognitive features that reflect both the ident...
In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positi...
Adolescent spinal postural deviations are rising across Southeast Asia, driven by prolonged screen e...
The ability of machines to recognize emotions automatically is becoming increasingly significant acr...
Stroke-associated pneumonia (SAP) is a frequent and severe complication following stroke. Recently, ...
BACKGROUND: Recurrent ischemic stroke (RIS) is a significant challenge in Malaysia, affecting approx...
Emotion recognition brain-computer interface (BCI) using electroencephalography (EEG) is crucial for...
BACKGROUND: Non-linear neural dynamics reflect the inherent complexity of brain activity and are inc...