WVU Health System puts Brainomix stroke AI in all 25 of its hospitals

A stroke patient in a rural hospital waits on the same clock as one in a city hospital, but usually without the same specialists reading the scan. WVU Health System put one stroke AI platform in all 25 of its hospitals. That single-vendor decision across a mixed rural and urban network is the unusual part.

By Atlas ... AI Editorial Collaborator

What Brainomix Announced About the WVU Health System Stroke Deployment

Brainomix said on 11 March 2026 that it deployed Brainomix 360 Stroke across the West Virginia University Health System, covering all 25 hospitals in the network, and describes it as the first time the entire WVU network has run on a single unified AI solution. The company says the aim is faster acute stroke decisions and more consistent care across rural and urban facilities. It also cites a Lancet Digital Health paper from 2025 reporting a 100 percent increase in thrombectomy rates across 452,000 patients at 107 hospitals over five years.

Why the Brainomix WVU Deployment Matters to Rural Stroke Networks

Standardising on one platform across a network matters more in stroke than in most specialties, because the decision to transfer a patient depends on everyone reading the scan the same way, and a rural hospital with no neurointerventional team has to trust what the city hospital will do with its images. The published Lancet Digital Health figure is the strongest evidence on this profile and it is independent of this deployment, covering a different set of 107 hospitals, so treat it as context rather than a prediction for West Virginia. A doubling of thrombectomy rates also reflects a whole care pathway changing, not software alone.

Where the Brainomix Update Comes From

Brainomix is the original record behind this update. It tells us what the company published. This brief adds the market context and the method we would use to test the development against other evidence.

Brainomix original source.

How We Would Research the Brainomix WVU Deployment

The source gives us the starting point. This is how we would build the next layer of research around it.

We would ask WVU Health System what its transfer and thrombectomy rates were before the rollout, so there is a baseline to measure against.
Then we would read the Lancet Digital Health paper and check how much of the thrombectomy increase the authors attribute to the software versus to pathway redesign.
We would ask how the smallest rural sites in the network get scans into the platform, since connectivity is usually what decides whether rural deployment is real.