Latest AI and machine learning research in neurology for healthcare professionals.
OBJECTIVE: To evaluate the care status of the amyotrophic lateral sclerosis (ALS) patients with long-term use of tracheostomy tube by caregivers of ALS patients.
Gentisides are a class of chemical compounds which is considered as potential therapeutic substance for treatment of neurodegenerative disorders. The heat reflux extraction conditions were optimized for seven kinds of gentisides from the root and rhizome of Gentiana rigescens Franch. ex Hemsl. by employing response surface method. Based on univariate test, a Box-Behnken design (BBD) was applied to...
Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography...
This study investigated the effects of Streblus asper leaf extract (SA) on reactive oxygen species (ROS) in SK-N-SH cell culture and on motor function...
UNLABELLED: Increasing evidence indicates that diabetes may negatively affect vestibular function, and postural control more so under postural challen...
BACKGROUND: Robots designed for rehabilitation of the upper extremity after stroke facilitate high rates of repetition during practice of movements an...
This study explored a novel strategy to restore the vocal gap by using cross-linked β-glucan hydrogel by γ-irradiation. An aqueous solution of 5 wt% β...
First episode psychosis (FEP) patients are of particular interest for neuroimaging investigations because of the absence of confounding effects due to...
Given the fact that clinical bedside examinations can have a high rate of misdiagnosis, machine learning techniques based on neuroimaging and electrop...
BACKGROUND: Machine learning models have been successfully applied to neuroimaging data to make predictions about behavioral and cognitive states of i...
BACKGROUND: The present study aimed to predict the probability of developing new cerebral metastases after Gamma Knife radiosurgery (GKR) alone in pat...
Mathematical modelling is used routinely to understand the coding properties and dynamics of responses of neurons and neural networks. Here we analyse...
Brain ageing is followed by changes of the connectivity of white matter (WM) and changes of the grey matter (GM) concentration. Neurodegenerative dise...
Intravenous belimumab is approved for the treatment of systemic lupus erythematosus; subcutaneous self-administration would enable greater patient acc...
PURPOSE: To determine dosimetric factors predictive of hearing loss in vestibular schwannoma (VS) patients treated with definitive fractionated stereo...
Insulin resistance is a risk factor for Alzheimer's disease (AD), although its role in AD etiology is unclear. We assessed insulin resistance using fa...
A simple and high throughput method was developed and validated for simultaneous determination of valproic acid and its two toxicant ene-metabolites, ...
BACKGROUND: Evidence of superiority of robot training for the hand over classical therapies in stroke patients remains controversial. During the subac...
BACKGROUND: Neurological impairments following stroke impact the ability of individuals to perform daily activities, although the relative impact of i...
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain dat...