MedTrace Logo

Automated Detection and Triage of Large Vessel Occlusions Using Artificial Intelligence for Early and Rapid Treatment (ALERT)

NCT04142879 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2019-10-29

No results posted yet for this study

Summary

Post Market, Prospective, Randomized, Controlled, multi center data collection study to evaluate the use of Viz versus the standard of care in stroke workflow and clinical outcome parameters.

Conditions

  • Stroke Workflow and Clinical Outcome Parameters

Interventions

DEVICE

Viz Device Software

Viz uses artificial intelligence to automatically detect, triage and notify stroke specialists of suspected large vessel occlusion (LVOs) and computed tomography angiogram (CTA) imaging. Viz includes functionality to automatically process computed tomography perfusion (CTP) images. Additionally, Viz includes a mobile non-diagnostic image viewer and HIPAA-compliant secure messaging.

Sponsors & Collaborators

  • Viz.ai, Inc.

    collaborator INDUSTRY

  • Providence Little Company of Mary-Torrance

    lead OTHER

Principal Investigators

  • Jason Tarpley, M.D., Ph. D. · Providence Little Company of Mary Medical Center-Torrance

  • Heliane Kauffman, B.S.N., R.N. · Providence Health & Services

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-12-01
Primary Completion
2020-12-31
Completion
2021-12-31

Countries

  • United States

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04142879 on ClinicalTrials.gov