AI Medical Compendium Topic:
Stroke

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A Stroke Risk Detection: Improving Hybrid Feature Selection Method.

Journal of medical Internet research
BACKGROUND: Stroke is one of the most common diseases that cause mortality. Detecting the risk of stroke for individuals is critical yet challenging because of a large number of risk factors for stroke.

Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis.

International journal of nursing studies
OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function among stroke patients.

Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...

Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study.

Journal of neural engineering
OBJECTIVE: Motor function of chronic stroke survivors is generally accessed using clinical motor assessments. These motor assessments are partially subjective and require prior training for the examiners. Additionally, those motor function assessment...

A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.

IEEE transactions on medical imaging
Current clinical practice relies on clinical history to determine the time since stroke (TSS) onset. Imaging-based determination of acute stroke onset time could provide critical information to clinicians in deciding stroke treatment options, such as...

Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study.

BioMed research international
During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usually leads the subject becoming bored or frustrated; therefore, the difficulty of the training task has an important influence on the effectiveness of...

Using machine learning to optimize selection of elderly patients for endovascular thrombectomy.

Journal of neurointerventional surgery
BACKGROUND: Endovascular thrombectomy (ET) is the standard of care for treatment of acute ischemic stroke (AIS) secondary to large vessel occlusion. The elderly population has been under-represented in clinical trials on ET, and recent studies have r...

A Single Session of Robot-Controlled Proprioceptive Training Modulates Functional Connectivity of Sensory Motor Networks and Improves Reaching Accuracy in Chronic Stroke.

Neurorehabilitation and neural repair
BACKGROUND: Passive robot-generated arm movements in conjunction with proprioceptive decision making and feedback modulate functional connectivity (FC) in sensory motor networks and improve sensorimotor adaptation in normal individuals. This proof-of...

Constipation and risk of death and cardiovascular events.

Atherosclerosis
BACKGROUND AND AIMS: Constipation is one of the most frequent symptoms encountered in daily clinical practice and is implicated in the development of atherosclerosis, potentially through altered gut microbiota. However, little is known about its asso...

HIV is associated with endothelial activation despite ART, in a sub-Saharan African setting.

Neurology(R) neuroimmunology & neuroinflammation
OBJECTIVE: To study the relationship between endothelial dysfunction, HIV infection, and stroke in Malawians.