The largest dataset to date on stroke detection with the Swoop(R) system demonstrates the ability to identify small strokes rapidly and reliably, reinforcing its clinical value for acute care and ...

Hyperfine, Inc. announced results from a large data set from an investigator-initiated study evaluating stroke detection with t ...

Stroke Risk Could Be Flagged Early Using Apple Watch Technology, Studies Show ...

Six-month smartwatch-based atrial fibrillation (AF) screening improves detection of new-onset AF among patients at elevated stroke risk.

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

A stroke can strike without warning, and every minute counts when it does. It happens when the blood supply to your brain is cut off, causing severe damage in a short amount of time. While many of us ...

Stroke Prevention 2.0 focuses on early detection of hidden risks like atrial fibrillation, inflammation, and structural heart defects.

Introduction: Atrial fibrillation (AF) is a major risk factor for ischemic stroke (IS). Its diagnosis can be challenging, ...

Strokes are a medical emergency, yet imaging can capture only snapshots of how brain damage develops in the hours and days ...

Stroke prevention saves money and lives. Will you take action?

Strong evidence supports the use of AI-powered portable MRI for stroke detection in multiple clinical settings, including the emergency department.