Latest AI and machine learning research in neurology for healthcare professionals.
Psychopharmaceutical therapy has seen a lack of improvement in efficacy, highlighting the need for a...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder involving mitochondrial dysfunc...
During a seizure, the neurons in the brain are firing abnormally. It is important to identify the sy...
BACKGROUND: Manual effort required for feature extraction from operative reports can be time-intensi...
Alzheimer's disease (AD) is characterized by progressive cognitive decline and prominent disturbance...
Classification of sleep stages is essential for assessing sleep quality and diagnosing sleep disorde...
OBJECTIVE: Artificial intelligence (AI) classifies routine electroencephalograms (EEGs) with expert-...
BackgroundCutting-edge deep learning algorithms are applied to epileptic seizures to uncover hidden ...
Machine learning (ML), a subset of artificial intelligence (AI), is revolutionizing health care. Giv...
BACKGROUND: Walking ability is the priority for spinal cord injury (SCI) patients. Nontraumatic SCI ...
OBJECTIVES: Although the identification of enumeration anomalies has potential clinical implications...
BACKGROUND: Poststroke seizures (PSS) and poststroke epilepsy (PSE) are important neurological compl...
An urgent requirement in chimeric antigen receptor (CAR) immune cell therapy [e.g., CAR-natural kill...
Accurate classification of artifacts in long-term electroencephalography (EEG) recordings is essenti...
BACKGROUND: The recognition of affective states from EEG recordings considering the sleep condition ...
This study aimed to develop and validate models built using machine learning methods for the diagnos...
PURPOSE: Reliable decoding of lower-limb motor intent from surface electromyography signals remains ...
BACKGROUND: motion recognition using electroencephalography (EEG) has gained significant attention i...
Health literacy is a critical component of high-quality stroke care. Across the continuum from preve...
BACKGROUND: The application of artificial intelligence (AI) to resting-state electroencephalography ...
BackgroundGait impairment in dementia and Parkinson's disease (PD) contributes to falls, reduced mob...