Intraoperative neuromonitoring (IONM) is a complex process prone to human error, and a shortage of qualified neurophysiologists limits its use, with only a fraction of neurosurgeries currently monitored. This can lead to increased risk during surgery and erode profit margins for healthcare providers.

Nervio's AIM™ is an AI-powered intraoperative neuromonitoring platform designed to augment the capabilities of neurophysiologists and improve surgical safety. AIM™ converts raw surgical data into real-time alerts and recommendations, effectively adding an expert neurophysiologist to the team. The system is built on machine learning algorithms and has been tested on over 1,000 surgeries. It serves as a vigilant adjunct to existing IONM systems, rapidly identifying critical changes in IONM data and presenting them in a simple visual display.

AI-powered analysis of raw surgical data for real-time alerts and recommendations

Machine learning algorithms trained on data from over 1,000 surgeries

Visual display of critical changes in IONM data

Adjunct to standard IONM platforms

Streamlines operations and reduces workload for neurophysiologists

Improves data mining quality

Allows expansion into untapped markets

The primary users are hospitals, neurophysiologists, and surgeons seeking to improve surgical safety, reduce the risk of human error, and address the shortage of qualified neuromonitoring experts.