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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04142879
Acronym
ALERT
Enrollment
500
Registered
2019-10-29
Start date
2019-12-01
Completion date
2021-12-31
Last updated
2019-10-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stroke Workflow and Clinical Outcome Parameters

Keywords

Large Vessel Occlusion

Brief 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.

Detailed description

This study will be a multicenter, multi arm, prospective randomized study to evaluate the use of Viz. The study will enroll all subjects that present at all participating centers that meet the study inclusion/exclusion during the period of study evaluation. All subject imaging (CT) data will be pushed to Viz and evaluated by Viz. Randomization will occur at the time of image processing by Viz that indicates the subject is positive for LVO per the software criteria (anterior location). Subjects randomized to the standard of care arm of the study will not receive any information via an automated notification from Viz. Subjects that are randomized to the Viz arm of the study will have an automated message sent to the enrolling center contacts. Subjects will be followed for 90 days post treatment. Data evaluation may occur at regular intervals throughout the study and at the completion of the study period.

Interventions

DEVICEViz 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

Viz.ai, Inc.
CollaboratorINDUSTRY
Providence Little Company of Mary-Torrance
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

A subject must meet all of the following inclusion criteria to be included in the study: 1. Age of 18 years or greater. 2. Signs and symptoms consistent with the diagnosis of a stroke. 3. Stroke protocol imaging (CTA) with a confirmed presence of anterior LVO via Viz.

Exclusion criteria

A subject may not be included in the study if any of the following

Design outcomes

Primary

MeasureTime frameDescription
Non-Interventional CentersTime of subject presentation through up to 90 days post treatment.Non-Interventional Centers: Evaluate the Door-In to Door-Out (DIDO) time for subjects in which Viz was utilized versus standard of care.
Interventional CentersTime of subject presentation through up to 90 days post treatment.Interventional Centers: Evaluate the Door-In to Groin Puncture time for subjects in which Viz was utilized versus standard of care.

Secondary

MeasureTime frameDescription
Workflow EndpointsTime of subject presentation through up to 90 days post treatment.All endpoints will be evaluated for the rate of differences per arm and cohort assignment. Data related to the overall volume and rates of LVOs evaluated by Viz will be summarized. Data related to the overall volume and rates of treatments (TPA, endovascular intervention) will be summarized.

Countries

United States

Contacts

Primary ContactDiana Gallegos, LVN
diana.gallegos@providence.org310-303-5515
Backup ContactTreasure Joyce, LVN
treasure.joyce@providence.org310-303-5448

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026