Support aneurysm detection and follow-up with automatic AI powered detection and mobile intelligent care coordination.
Current care pathways are complex and rely on manual identification and triage.
Aneurysms are most commonly an incidental finding on imaging and are often missed during the course of routine care.
Ordering providers are often unfamiliar with the diagnosis and treatment of aneurysms and may not be aware of the appropriate next steps.
When imaging occurs in settings like the emergency room, patients may be informed of their aneurysm but not know who to follow up with - and therefore never schedule.
It’s challenging for spokes to share imaging with Hubs as well as coordinate care for patients being referred or transferred.
Viz ANEURYSM auto-detects aneurysms in CTAs that may be missed. Detecting these aneurysms allows them to be appropriately monitored and treated.
Viz ANEURYSM auto-detects cerebral aneurysm and notifies the appropriate care provider, even if they’re located at a different hospital. This ensures more patients get the treatment they need.
By detecting more aneurysms and tracking them over time, more patients can have access to therapies and treatment when appropriate to do so.
A new multicenter study showed that up to 85% of aneurysms detected by AI had not been previously referred for follow-up to the appropriate specialist. Dr. Sunil Sheth, primary investigator, will highlight the study results.
A new multicenter study showed that up to 85% of aneurysms detected by AI had not been previously referred for follow-up to the appropriate specialist. Dr. Sunil Sheth, primary investigator, will highlight the study results.
Median size of aneurysms was 5mm, suggesting that AI-powered detection of incidental cerebral aneurysms can improve patient care pathways.
In under four minutes hear Dr. Ameer Hassan present stroke outcomes pre and post Viz.ai on from a large hospital network. The study measured DIDO time, door-In to puncture time and more.
In under four minutes hear Dr. Ameer Hassan present stroke outcomes pre and post Viz.ai on from a large hospital network. The study measured DIDO time, door-In to puncture time and more.
