Latest AI and machine learning research in neurology for healthcare professionals.
STUDY DESIGN: Bioinformatics analysis and experimental validation study.
BACKGROUND: Population aging increases the economic burden of Alzheimer's disease (AD). Early screen...
Citrus reticulata leaves, rich in phytochemicals, are underutilized by-products with sustainable val...
BACKGROUND CONTEXT: Degenerative scoliosis (DS) is a common spinal disorder among adults, characteri...
BACKGROUND: Lower limb exoskeleton rehabilitation robot is a new technology to improve the lower lim...
This paper introduces an innovative approach to sleep stage classification, leveraging a multi-modal...
Machine learning-based stroke lesion segmentation models are widely used in biomedical imaging, but ...
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning ...
Neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), present significant chall...
BACKGROUND: Goals of care (GOC) conversations are an evidence-based practice that help clarify and a...
Accurate prediction of biogas production is essential for optimizing process performance, enhancing ...
Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. Ho...
Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods co...
BACKGROUND AND PURPOSE: The automatic recognition of intracraial aneurysms by means of machine-learn...
BACKGROUND AND PURPOSE: The diagnostic performance of deep learning model that simultaneously detect...
BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, h...
BACKGROUND AND PURPOSE: The amount and distribution of cerebral microbleeds (CMB) are important risk...
Numerical models of electromyography (EMG) signals have provided a huge contribution to our fundamen...
Machine learning has been extensively applied to signal decoding in electroencephalogram (EEG)-based...
OBJECTIVES: Neurological emergencies pose significant challenges in medical care in resource-limited...
N-methyl-D-aspartate receptors (NMDARs), a subclass of glutamate-gated ion channels, play an integra...