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The pair would often run in marathons together. “No matter what happened to him, Don is a very determined fella and he’s not going to let a stroke end his active life,” Smitheram said. “This is a way ...

We present an end-to-end machine learning approach for automatic stroke triage. Methods: Employing a validated convolutional neural network (CNN) segmentation model for image processing, we extract ...

Whether the large effect size of endovascular thrombectomy (EVT) for stroke due to large-vessel occlusion applies to stroke due to medium-vessel occlusion is unclear. In a multicenter, prospective ...

Share on Pinterest Flossing may be a simple way to lower your risk of certain forms of cardiovascular disease, including stroke. DZ FILM/Getty Images Cardiovascular disease, including stroke ...

We generated and validated the PFCML-MT score, a novel machine learning model, to predict clinical outcomes in patients with AIS undergoing MT. The model integrated nine easily accessible variables ...

The 63-year-old remains hospitalized following his health emergency on Jan. 6, PEOPLE confirms Amanda Edwards/Getty Matt Pinfield, former MTV VJ, suffered a massive stroke earlier this month and ...

Credit: University of Southern Denmark The brain tries to repair damage after a stroke by utilizing its own repair cells ... we can precisely map which areas of the brain are most active in the repair ...

VGH neurologist Dr. Lily Zhou explains how her research is using machine learning to look stroke prognosis in B.C. ‘I was blessed’: Carey Price reflects on banner career cut short by injury 7 ...

Objective To investigate the associations between a comprehensive set of retinal vascular parameters and incident stroke to unveil new associations and explore its predictive power for stroke risk.

Furthermore, retinal characteristics have been associated with stroke and can be used for stroke risk estimation. This study investigated machine learning approaches to retinal images for risk ...