EndovateHealth offers a portable, AI‑driven diagnostic platform that enables EMS personnel to detect large‑vessel occlusion (LVO) strokes in the field. The battery‑operated device provides real‑time analysis and secure transmission of results to stroke centers, helping ensure patients are routed to a thrombectomy‑capable hospital on the first attempt and reducing time to treatment.
Funding
Funding not disclosed
Founders
Product
Problem
Large Vessel Occlusion (LVO) strokes account for the majority of stroke‑related deaths, yet emergency medical services (EMS) lack a rapid, non‑invasive tool to identify these cases in the field. Without early detection, patients often miss the narrow therapeutic window for endovascular thrombectomy, resulting in preventable disability and mortality.
Solution
EndovateHealth provides a point‑of‑care diagnostic platform that enables first responders to screen for LVO strokes before hospital transport. The system combines a portable imaging or sensor device with an AI‑driven analysis engine to deliver a fast, objective assessment of large‑vessel blockage. Results are displayed on a handheld interface and can be transmitted securely to receiving stroke centers, allowing them to prepare for endovascular thrombectomy in advance. By integrating directly into EMS workflows, the platform reduces time to definitive treatment and improves the likelihood that patients are taken to a facility capable of performing thrombectomy on the first attempt.
Target Audience
Primary customers are emergency medical service agencies and regional stroke networks that need reliable pre‑hospital identification of large‑vessel occlusion strokes.
Features
- Compact, battery‑operated device designed for use in ambulances and other pre‑hospital settings
- Real‑time AI algorithm that analyzes sensor data to identify LVO signatures with high sensitivity and specificity
- Automated result reporting with clear triage recommendation (e.g., “thrombectomy‑capable center required”)
- Secure, HIPAA‑compliant data transmission to hospital stroke teams via cellular or Wi‑Fi connectivity
- User‑friendly touchscreen interface requiring minimal training for EMS personnel
- Integration with existing EMS dispatch and electronic patient care reporting systems