NeuroVRD offers the Sentinel AI‑IONM platform, a portable, all‑in‑one system that continuously records neurophysiological signals during high‑risk surgeries and uses AI to detect early nerve irritation. Real‑time visual and audible alerts are delivered directly to the surgeon’s display, eliminating the need for dedicated IONM technologists and enabling faster intervention to prevent nerve damage.
Funding
$453.5K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Intraoperative neuromonitoring (IONM) is the standard of care for high‑risk surgeries, yet more than 86% of such procedures in the United States are performed without monitoring because traditional IONM requires expensive, bulky equipment and specialized technicians, leading to inconsistent coverage and higher risk of nerve injury.
Solution
NeuroVRD’s Sentinel AI‑IONM platform provides a portable, automated monitoring system that continuously records neurophysiological signals and applies AI models to detect early signs of nerve irritation. The platform delivers real‑time alerts directly to the operating‑room display, enabling surgeons—whether using manual or robot‑assisted techniques—to intervene before irreversible damage occurs. By embedding AI‑driven interpretation, the system reduces reliance on on‑site experts and standardizes signal quality across procedures. Data are securely streamed to a cloud service for storage, analytics, and post‑operative review, supporting quality improvement and compliance reporting. The solution is designed to be cost‑effective and scalable, aiming to bring reliable IONM to all 3.8 million high‑risk surgeries performed annually in the U.S.
Target Audience
Primary customers are hospitals, surgical centers, and health systems that perform spine, neurosurgical, and orthopedic high‑risk procedures, as well as device manufacturers seeking integrated IONM capabilities for robotic surgery platforms.
Features
- Portable, all‑in‑one hardware that captures multimodal neurophysiological data without the need for separate consoles
- Automated signal acquisition and quality control, eliminating the requirement for a dedicated IONM technologist
- AI algorithms trained on a large surgical dataset that identify >30% more early irritation events than manual interpretation
- Real‑time visual and audible alerts integrated into the surgeon’s workflow, compatible with both human and robotic surgical platforms
- Secure cloud infrastructure for continuous data storage, longitudinal analysis, and integration with hospital information systems
- Scalable pricing model that lowers per‑case cost, facilitating adoption across community hospitals and large academic centers