Methods from optogenetics and machine learning should help improve treatment options for stroke patients. Researchers have now developed a computer vision technique to analyze the changes in motor ...

Today at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients' physical signs of stroke with the ...

Stroke risk prediction tools are meant to guide how doctors approach a potentially deadly condition, using factors like heart disease and high blood pressure to get a handle on which patients might ...

Researchers from Penn State University and Houston Methodist Hospital recently outlined their work on a machine learning tool that uses a smartphone camera to quickly gauge facial movements for sign ...

When blood flow to the brain is somehow reduced or restricted, a person can suffer a stroke. Stroke is fairly common; in Europe alone, there are over 1.5 million new cases each year. Some strokes can ...