Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling techniques.
Medical prediction is always collectively determined based on bioimages collected from different sources or various clinical characterizations described from multiple physiological features. Notably, learning intrinsic structures from multiple heterogeneous features is significant but challenging in multi-view disease understanding. Different from existing methods that separately deal with each si...
BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve mood and acute pain for people with dementia. Lit...
Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanometer are widely used to diagnose hypertension, the...
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ul...
In this paper, we propose a deep recurrent neural network (DRNN) for the estimation of bladder pressure and volume from neural activity recorded direc...
Traditional general linear model-based brain mapping efforts using functional neuroimaging are complemented by more recent multivariate pattern analys...
A deep learning classifier for detecting seizures in neonates is proposed. This architecture is designed to detect seizure events from raw electroence...
Mechanical assistance on joint movement is generally beneficial; however, its effects on cooperative performance and muscle activity needs to be furth...
OBJECTIVE: Delay to resective epilepsy surgery results in avoidable disease burden and increased risk of mortality. The objective was to prospectively...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since it is an indication for the prescription of oral an...
Alzheimer's Disease (AD) is one of the leading causes of death in developed countries. From a research point of view, impressive results have been rep...
Our aim was to create simple and largely scalable machine learning-based algorithms that could predict mortality in a real-time fashion during intensi...
Language impairment, or aphasia, is a disabling symptom that affects at least one third of individuals after stroke. Some affected individuals will sp...
OBJECTIVE: Dexmedetomidine is an alpha 2-adrenergic agonist that prolongs analgesia as an adjuvant when added in neuraxial and peripheral nerve blocks...
PURPOSE: Although functional brain imaging has been used for the early and objective assessment of cognitive dysfunction, there is a lack of generaliz...
OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. However, magnetic resonance imaging (MRI)-negative h...
In this study, we propose a novel anomaly detection model targeting subtle brain lesions in multiparametric MRI. To compensate for the lack of annotat...
Behavior provides important insights into neuronal processes. For example, analysis of reaching movements can give a reliable indication of the degree...
BACKGROUND: Vitamin D deficiency is associated with the incidence and prevalence of a variety of neurologic disorders, including multiple sclerosis. H...