Latest Clinical Studies and Publications

Learn more about how the Viz Platform is impacting disease detection and care coordination in health systems and clinical research in the following published articles across the most reputable research journals.

VALIDATE: Validation of Artificial Intelligence to Limit Delays in Acute Stroke Treatment and Endovascular Therapy

Hospital utilization of an AI-based care coordination platform was associated with a significant decrease of 39.5 minutes in the time to NIR contact, increase in patients taken for intervention, and lower DTN times for thrombolytics.

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Viz™ ANEURYSM

Validation of an automated machine learning algorithm for the detection and analysis of cerebral aneurysms

VALIDATE: Validation of Artificial Intelligence to Limit Delays in Acute Stroke Treatment and Endovascular Therapy

February 8, 2023

Viz™ ANEURYSM

Machine-learning Enabled Detection of Unruptured Cerebral Aneurysms Improves Detection Rates and Clinical Care

November 16, 2022

Viz™ SUBDURAL

Automated detection and analysis of subdural hematomas using a machine learning algorithm

September 30, 2022

Artificial Intelligence–Parallel Stroke Workflow Tool Improves Reperfusion Rates and Door-In to Puncture Interval

September 7, 2022

Differences in Automated Perfusion Software: Do They Matter Clinically?

Comparison of Three Automated Ct Perfusion Software Packages for Thrombectomy Eligibility and Final Infarct Volume Prediction

Real World Experience With Viz.AI Automated Hemorrhage Detection At A Comprehensive Stroke Center

February 3, 2022

Viz.ai Implementation Of Stroke Augmented Intelligence And Communications Platform To Improve Indicators And Outcomes For A Comprehensive Stroke Center And Network

February 3, 2022

Real World Experience With Viz.AI Automated Large Vessel Occlusion Detection

February 3, 2022

AI software detection of large vessel occlusion stroke on CT angiography: a real-world prospective diagnostic test accuracy study

January 27, 2022

Automated Detection of Intracerebral Hemorrhage Using Artificial Intelligence: Pilot Deployment of Viz ICH

December 22, 2021

Automated emergent large vessel occlusion detection by artificial intelligence improves stroke workflow in a hub and spoke stroke system of care

August 20, 2021

Large scale, CT evaluation can improve access to imaging studies within multi-center stroke trials

A comparison of two automated CTP algorithms for estimation of core infarct

Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients

Initial Real-World Experience With Viz LVO in Transferred Large Vessel Occlusion Stroke Patients

CSC Implementation of Artificial Intelligence Software Significantly Improves Door-In to Groin Puncture Time Interval and Recanalization Rates

Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center

February 9, 2021

Artificial Intelligence and Acute Stroke Imaging

January 11, 2021

Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model

August 26, 2020

Automated large vessel occlusion by artificial intelligence improves stroke workflow metrics: 1st 100 patient experience in a hub and spoke stroke system

Viz™ ANEURYSM

Artificial Intelligence to Improve the Detection and Triage of Cerebral Aneurysms

February 12, 2020

Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review

October 8, 2019

Computer-aided imaging analysis in acute ischemic stroke – background and clinical applications

August 15, 2019

Artificial Intelligence Detection of Cerebrovascular Large Vessel Occlusion - Nine Month, 650 Patient Evaluation of the Diagnostic Accuracy and Performance of the Viz.ai LVO Algorithm

January 30, 2019

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