November 16, 2022

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Gold Sponsor
Join Viz.ai at
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Thanks for joining Viz.ai at
SVIN 2022 Annual Meeting
Nov 16
-
19
Nov 19, 2022
,
2022
Los Angeles, California
Westin Bonaventure Hotel & Suites
, Booth #
101

Discuss the challenges of neurovascular care pathways and the latest solutions for improving patient identification, developing disease specific workflows, and connecting patients to the right provider at the right time in their medical moment of truth.

SVIN 2022 Annual Meeting
Join Viz.ai at
Viz.ai is currently at
Thanks for joining Viz.ai at
SVIN 2022 Annual Meeting

Nov 16
-
19
Nov 19, 2022
,
2022
Los Angeles, California
Westin Bonaventure Hotel & Suites
Westin Bonaventure Hotel & Suites
Booth #
101

Discuss the challenges of neurovascular care pathways and the latest solutions for improving patient identification, developing disease specific workflows, and connecting patients to the right provider at the right time in their medical moment of truth.

Live events at the conference

Spotlight Session Panel

Ameer Hassan
Dr.
Ameer Hassan
,
DO, FAHA, FSVIN
Head of Neuroscience, Director of Endovascular Surgical Neuroradiology, Director of Clinical Neuroscience
at
Valley Baptist Neuroscience Institute
at
at
Sunil Sheth
Dr.
Sunil Sheth
,
MD
Associate Professor of Vascular and Interventional Neurology
at
UT Health Department of Neurology
at
at
Viz™ Clinical Forum
Dr.
,
at
at
at
Discussion and Q&A

Viz™ Clinical Forum

November
17
and
17
at
7:30 pm
Bonaventure Brewing Company
Bonaventure Brewing Company

Viz.ai’s robust clinical evidence portfolio is highlighted with an opportunity to ask questions and network with key authors

brainSHIFT: the Future of Workplace Wellness
Dr.
Romie Mushtaq
,
Founder and CEO
at
brainSHIFT
Chief Wellness Officer
at
Evolution Hospitality
at
Keynote

brainSHIFT: the Future of Workplace Wellness

November
18
and
18
at
11:00 am

Fellows Course Hands-On
Dr.
,
at
at
at
Discussion and Q&A

Fellows Course Hands-On

November
17
and
17
at
1:00 pm

Technical experts will be available for demonstration and to answer questions on implementation, clinical and financial impact.

Schedule time with the Viz.ai leadership team at the summit

Chris Mansi

Chris Mansi

Chief Executive Officer and Co-founder

Jayme Strauss

Jayme Strauss

Chief Clinical Officer

Jieun Choe

Jieun Choe

Chief Marketing Officer

Steve Sweeny

Steve Sweeny

Vice President, Business Development and Strategy

Tom Krohn

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.

Viz.ai platform across mobile, desktop, and the radiology workflow.

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™ 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.

Viz.ai platform across mobile, desktop, and the radiology workflow.

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.

Illustration of doctor receiving a mobile alert regarding a patient

Accelerate Your Clinical Trial Enrollment

Leverage an AI-powered platform that is embedded in 1,200 hospitals to increase trial enrollment rates by 3x.

Illustration showing patients connecting to hospitals through Viz.ai's platform

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.  

Illustrations showing patient data connecting to clinicians

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.

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.

1,200+
Hospitals implemented Viz
10,000+
Providers trust Viz
2,500+
Patients analyzed per day
Acceleration in Trial Enrollment

Demonstrated Time Savings leads to Improved Outcomes

Save Time[1]

Arrow icon
73%

Faster Treatment Decision

Reduce Length of Stay[2]

Arrow icon
2.5

Day Reduction in Hospital LOS

Improve Outcomes[3]

Arrow icon
23%

Day Reduction in Hospital LOS

  1. [1] Elijovich L, DornbosIII D, Nickele C, et al. J NeuroIntervent Surg Epub ahead of print. doi:10.1136/ neurintsurg-2021-017714
  2. [2] Hassan, A, et al. Interventional Neuroradiology, 2020.
  3. [3] '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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