November 27, 2022

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2022 RSNA Annual Meeting
Join Viz.ai at
Viz.ai is currently at
Thanks for joining Viz.ai at
2022 RSNA Annual Meeting
Booth #
#
Nov 27
-
1
Dec 1, 2022
,
2022
Chicago, Illinois
McCormick Place Convention Center

Stop by Booth #4160 to learn more about our AI-powered solutions for radiology.

New Press Release

Face of a young black male with phone screens of the Viz.ai applicationFace of a senior white woman with phone screens of the Viz.ai applicationViz.ai application shown with middle-age ethnic man

*Viz for HCM not available for sale. Investigational use only.

Join Viz.ai at
Viz.ai is currently at
Thanks for joining Viz.ai at
2022 RSNA Annual Meeting
Booth #
#
Nov 27
-
1
Dec 1, 2022
,
2022
Chicago, Illinois
McCormick Place Convention Center

Stop by Booth #4160 to learn more about our AI-powered solutions for radiology.

Live events at the conference

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

Ballroom C1/C2 at 9:15 - 10:45am
Dr. Mohamma Rauf, University of Texas at Houston

Validation Of Artificial Intelligence To Limit Delays In Acute Stroke Treatment And Endovascular Therapy

Poster Hall P6 from 7:00 - 7:30pm
Dr. Theresa Sevilis, TeleSpecialists LLC

An Artificial Intelligence Based Approach To Clinical Trial Recruitment: The Impact Of Viz Recruit On Enrollment In The Embolise Trial

Poster Hall P6 from 7:00 - 7:30pm
Dr. Ameer Hassan, Valley Baptist Medical Center

Should They Stay Or Should They Go? The Impact Of AI-based Care Coordination On Stroke Patient Transfers Across A Hospital Network

Poster Hall P4 from 7:00 - 7:30pm
Dr. James Bonner, Inspira Health System
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

Poster Hall P4 from 7:00 - 7:30pm
Dr. Kimberlee Van Orden, University of California at San Diego
Dr. Dawn M Meyer, UC San Diego

Effect Of Automated Large Vessel Occlusion Detection On Endovascular Therapy Treatment Rate: A Multi-Center Cluster Randomized Clinical Trial

Poster Hall P4 from 7:00 - 7:30pm
Dr. Saagar Dhanjani, UTHealth

The Charlotte Large Artery Occlusion Endovascular Therapy Outcome Score Compares Favorably To The Critical Area Perfusion Score After Basilar Thrombectomy

Poster Hall P4 from 7:00 - 7:30pm
Dr. Jeremy B Rhoten

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 1,300 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.

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.

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.

Viz™ Cardio Suite features such as AI-activated alerts, high-fidelity mobile imaging viewer, HIPAA-compliant communication, and streamline workflows

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 Viz.ai Platform

Visit with Viz.ai at AIMED this year to learn more about how Viz.ai can help to streamline workflow to save clinicians time and expedite care for patients.

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 1,400hospitals in the US and EMEA.

Accessible in any workflow

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.

Heading

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.

1,300
Hospitals
35,000+
HCP Users
2,500+
Patients analyzed per day

Resources you may be interested in

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar
How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

How AI is Transforming the Cardiology Care Paradigm: 2 Case Studies

Join leading cardiac electrophysiology experts, Dr. Suneet Mittal, Valley Health and Dr. Jonathan Hsu, University of California, San Diego, as they discuss their real world experience with AI to seamlessly direct patients to the right specialist, combating loss to follow up rates and delayed diagnosis in cryptogenic stroke and hypertrophic cardiomyopathy.
On-Demand Webinar

Demonstrated Time Savings leads to Improved Outcomes

Save Time[1]

+73%

Faster Treatment Decision

Reduce Length of Stay[2]

-2.5

Day Reduction in Hospital LOS

Improve Outcomes[3]

+23%

Improvement in 90 day mRS

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