Viz LVO
Using artificial intelligence to automatically identify and triage suspected LVO strokes.
Stroke is a leading cause of permanent disability, death and healthcare costs in the U.S. and globally.¹ In the U.S., someone has a stroke every 40 seconds and someone dies from a stroke every 4 minutes.¹ Treatment with IV tPA and mechanical thrombectomy are time-dependent, making early stroke identification and notification of a specialist critical.²𝄒³
Identify LVOs Automatically
Artificial intelligence and deep learning algorithms automatically analyze CTA images to identify suspected large vessel occlusion (LVO) strokes.
Notify Specialists Directly
Notifications for suspected LVOs are sent to neurologists and interventionalists who can view the patient's CTA images on a mobile device. Median time from picture to the notification is under 6 minutes.⁴
Transfer Patients Promptly
Stroke specialists may initiate the transfer of patients to interventional centers through messaging and call capabilities connected with existing emergency and transportation services.
Treat IV tPA & Thrombectomy
Earlier involvement of stroke specialists has the potential to improve time to treatment with IV tPA and mechanical thrombectomy while ensuring only appropriate patients are transferred.
The Viz LVO Platform uses artificial intelligence and deep learning to analyze CTA images of the brain and notify a specialist of a suspected large vessel occlusion in parallel to the standard of care for image interpretation.
1 - Benjamin EJ, Blaha MJ, Chiuve SE, et al. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017;135(10):e146-e603.
2 - Lees KR, Bluhmki E, Von kummer R, et al. Time to treatment with intravenous alteplase and outcome in stroke: an updated pooled analysis of ECASS, , NINDS, and EPITHET trials. Lancet. 2010;375(9727):1695-703.
3 - He AH, Churilov L, Mitchell PJ, Dowling RJ, Yan B. Every 15-min delay in recanalization by intra-arterial therapy in acute ischemic stroke increases risk of poor outcome. Int J Stroke. 2015;10(7):1062-7.
4 - Sun CH, Nogueira RG, Glenn BA, et al. Picture to puncture: a novel time metric to enhance outcomes in patients transferred for endovascular reperfusion in acute ischemic stroke. Circulation. 2013;127(10):1139-48.
5 - Barreira CM, Bouslama M, Haussen DC, Grossberg JA, Baxter B, Devlin T, Frankel M, Nogueira RG. Automated Large Artery Occlusion Detection IN Stroke Imaging - ALADIN Study. Stroke. 2018;49:AWP61.
