An AI Solution for Mobile Stroke Detection for TeleMedicine, Hospital and Paramedic Use
T2022-039
Problem Statement:
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.
Solution:
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.
Commercial Application:
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