Stroke can be tricky to diagnose as patients don’t always present with classic symptoms, and other conditions can mimic it. Researchers have used existing data to develop a machine-learning model that ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

A smartwatch used a machine learning algorithm to detect social interactions through sounds in the environment. This ...

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 ...

LOS ANGELES, Ca. - Every 40 seconds, someone in the U.S. has a stroke. Fifty percent of patients who have one are left disabled for life. The mantra in stroke treatment is "time is brain." ...

Each year, more than 750,000 Americans suffer a stroke. Most of them survive; but for many, it means months or years of therapy to regain movement. In Orange County, some stroke survivors are using ...

If you're a member of a rowing team, it's not just your stroke that's important, but also how well you coordinate that stroke with those of your team-mates. With that in mind, Idaho-based rowers Mike ...