Live events at the conference
Spotlight Session Panel
11 Abstracts at ISC 2023
Most studied AI powered care care coordination platform. Bookmark abstracts from your peers who use Viz to add to your schedule.
February 8, 2023
Effect Of Automated Large Vessel Occlusion Detection On Door-in-door-out Times At Primary Stroke Centers: A Multi-center Prospective Cohort Study
Validation Of Artificial Intelligence To Limit Delays In Acute Stroke Treatment And Endovascular Therapy
An Artificial Intelligence Based Approach To Clinical Trial Recruitment: The Impact Of Viz Recruit On Enrollment In The Embolise Trial
Should They Stay Or Should They Go? The Impact Of AI-based Care Coordination On Stroke Patient Transfers Across A Hospital Network
Christopher Love, Viz.ai
VISIION-S: Viz.ai Implementation Of Stroke Augmented Intelligence And Communications Platform To Improve Indicators And Outcomes For A Comprehensive Stroke Center And Network - Sustainability
Effect Of Automated Large Vessel Occlusion Detection On Endovascular Therapy Treatment Rate: A Multi-Center Cluster Randomized Clinical Trial
The Charlotte Large Artery Occlusion Endovascular Therapy Outcome Score Compares Favorably To The Critical Area Perfusion Score After Basilar Thrombectomy
February 9, 2023
Machine Learning-Enabled Automated Large Vessel Occlusion Detection Improves Treatment Times: A Multi-Center Cluster Randomized Clinical Trial
Artificial Intelligence-driven Automated Intracerebral Hemorrhage Volume Calculation Is More Accurate Than ABC/2
Effect Of Radiographic Contrast Media Shortage On Stroke Evaluation In The United States
Machine Learning-Enabled Automated Large Vessel Occlusion Detection Improves Treatment Times: A Multi-Center Cluster Randomized Clinical Trial
Schedule time with the Viz.ai leadership team at the summit
Chris Mansi
Chief Executive Officer and Co-founder
Jayme Strauss
Chief Clinical Officer
Jieun Choe
Chief Marketing Officer
Steve Sweeny
Vice President, Business Development and Strategy
Tom Krohn
VP Global Pharma Commercial Lead
Viz™ Neuro Suite
Viz.ai uses artificial intelligence to detect suspected disease and notify care teams with high fidelity mobile image viewing, patient information and secure chat to quickly coordinate care and make treatment decisions. The comprehensive neurovascular AI platform has been shown to save time and improve patient care coordination and is used in over 1,200 hospitals in the US and EMEA.
One platform, whenever you need it.
Viz.ai provides support with AI alerts and supports the entire care team to streamline care coordination.
AI-powered pulmonary embolism care coordination on the proven platform
Viz.ai uses artificial intelligence to detect suspected disease and notify care teams with high fidelity mobile image viewing, patient information and secure chat to quickly coordinate care and make treatment decisions.
Viz.ai is approved for a variety of indications, including pulmonary embolism, aortic dissection, large-vessel occlusion, and more.
The Viz™ Vascular Suite
Viz.ai uses artificial intelligence to detect suspected disease and notify care teams with high fidelity mobile image viewing, patient information and secure chat to quickly coordinate care and make treatment decisions.
The Viz™ Radiology Suite
Viz.ai uses artificial intelligence to detect suspected disease and notify care teams with high fidelity mobile image viewing, patient information and secure chat to quickly coordinate care and make treatment decisions. The comprehensive AI platform has been shown to save time and improve patient care coordination and is used in over 1,200 hospitals in the US and EMEA.
One platform, whenever you need it.
Viz.ai provides support with AI alerts and supports the entire care team to streamline care coordination.
Leverage the same AI-powered care coordination platform trusted by 10,000+ providers in over 1,200 hospitals to automatically detect and triage target diseases, creating an all-in-one solution for providers to coordinate clinical care and collaborate with industry.
Accelerate Your Clinical Trial Enrollment
Leverage an AI-powered platform that is embedded in 1,200 hospitals to increase trial enrollment rates by 3x.
Connect Patients at Their Medical Moment of Truth
Create your own customizable clinical decision support to detect hard to diagnose diseases and connect patients to the right providers. Results in 15x increase in patient consults.
Improve Patient Access to Lifesaving Treatments
Facilitate remote collaboration between providers & industry specialists for pre-surgical planning. Review shared de-identified patient imaging to recommend an appropriate solution in <5 minutes.
Viz™ Cardio Suite
Viz.ai has developed Cardiology Solutions that are impacting cardiovascular care pathways through AI algorithms, streamlined workflows, and care coordination, leading to improved patient access to treatment.
Visit Viz.ai at ACC (booth #2313) to learn more about the AI-powered care coordination built for cardiovascular disease states, including:
- Cryptogenic stroke
- Heart failure
- Cardiomyopathies
- Structural heart (patent foramen ovale, aortic stenosis)
- Pulmonary embolism
- Aortic diseases (AAA and aortic dissection)
- Arrhythmias including Atrial Fibrillation
Detecting disease off of CT, MRI, Echocardiogram, ECG and EMR data with 10 FDA-cleared AI algorithms
The Power of the Viz.ai Network
Viz.ai pioneered the use of AI algorithms and unifies synchronized care collaboration to increase access to life saving treatments. Viz.ai’s cardiology, neurovascular and vascular AI platform is clinically proven to save time and improve patient outcomes and access to care.
Demonstrated Time Savings leads to Improved Outcomes
Save Time[1]
Faster Treatment Decision
Reduce Length of Stay[2]
Day Reduction in Hospital LOS
Improve Outcomes[3]
Improvement in 90 day mRS
- Elijovich L, DornbosIII D, Nickele C, et al. J NeuroIntervent Surg Epub ahead of print. doi:10.1136/ neurintsurg-2021-017714
- Hassan, A, et al. Interventional Neuroradiology, 2020.
- Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients, Morey et al, Cerebrovasc Dis 2021;50:450-455, DOI: 10.1159/000515320
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