An AI Solution for Mobile Stroke Detection for TeleMedicine, Hospital and Paramedic Use
Diagnosis of arterial occlusion and an associated stroke can be lengthy, delaying patient access to treatment. As large vessel occlusions account for 24 to 46% of acute ischemic strokes and may require treatment in a comprehensive stroke center, early diagnosis is key.
Researchers at the Ohio State University have optimized the usage of a prehospital neurological scale to evaluate stroke severity. Using this app, one can more quickly determine a course of treatment until more comprehensive testing is completed.
In emergency scenarios, this software can accelerate stroke categorization by a variety of medical professionals. It can also be adapted to better train said professionals to recognize certain stroke characteristics