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Automated scan alerts help Houston stroke teams start treatment sooner

At four Houston comprehensive stroke centers, Viz.ai LVO detection with mobile alerts cut door-to-groin time for thrombectomy by 11.2 minutes.

21
Benefit status
Reported
Evidence
Independently studied
Observed
Sources
2 publications

Benefits

Benefit

Fell by 11.2 minutes (95% CI 4.2 to 18.2) after activation

Awaiting review

Outcome identifiers

Unresolved

Not reviewedUnresolved

Category

Reduced Task Time

Awaiting review

Status

Reported benefit

Awaiting review

Beneficiary groups

People. Organizations.

Awaiting review

Beneficiaries

Unresolved

Not reviewedUnresolved

Reach

Unresolved

Not reviewedUnresolved

Distribution and access

Unresolved

Not reviewedUnresolved

Duration

Unresolved

Not reviewedUnresolved

Expected?

Yes

Awaiting review

Costs and harms

Unresolved

Not reviewedUnresolved

AI system

System

Viz.ai automated large vessel occlusion detection with secure group messaging

Awaiting review

Model

This is an explicit unresolved assignment: the sources on record do not settle this question.

Not reviewedUnresolved

Release

Unresolved

Not reviewedUnresolved

Provider

Unresolved

Not reviewedUnresolved

Role

Unresolved

Not reviewedUnresolved

Configuration

Unresolved

Not reviewedUnresolved

Inputs and outputs

Unresolved

Not reviewedUnresolved

Autonomy

Unresolved

Not reviewedUnresolved

Workflow

Every CT angiogram for suspected stroke went to the cloud algorithm automatically. Alerts reached clinicians and radiologists by phone with secure group messaging.

Awaiting review

Human oversight

Unresolved

Not reviewedUnresolved

Relation to AI

Centers switched the software on in random order, so the trial compares treatment times with and without the AI alerts; the alerts came bundled with secure group messaging, which the trial does not separate from the detection.

Awaiting review

AI contribution

Centers switched the software on in random order, so the trial compares treatment times with and without the AI alerts; the alerts came bundled with secure group messaging, which the trial does not separate from the detection.

Awaiting review

Measurement

Studies

Study 1: randomized. Study 2: other. [1] [2]

Fully reviewed: supporting details for Studies

Review date: 29 October 2026.

Sources: [1] [2]

Study design

Study 1: randomized. Study 2: other. [1] [2]

Fully reviewed: supporting details for Study design

Review date: 29 October 2026.

Sources: [1] [2]

Measurement

Study 1: Door-to-groin time from stroke registry data; mixed-effects linear regression with center as random effect. Study 2: Systematic review and meta-analysis of before/after cohorts and one randomized trial. [1] [2]

Fully reviewed: supporting details for Measurement

Review date: 29 October 2026.

Sources: [1] [2]

Setting and sample

Study 1: 243 emergency department patients with large vessel occlusion stroke treated with thrombectomy at four centers, January 2021 to February 2022. Study 2: 12 studies, 15,595 patients, stroke centers in several countries. [1] [2]

Fully reviewed: supporting details for Setting and sample

Review date: 29 October 2026.

Sources: [1] [2]

Measures

Study 1: Door-to-groin time. Study 2: Door-to-groin time and other workflow times (standardized mean difference). [1] [2]

Fully reviewed: supporting details for Measures

Review date: 29 October 2026.

Sources: [1] [2]

Comparison

Study 1: Unexposed periods at the same centers. Study 2: Periods before Viz.ai implementation. [1] [2]

Fully reviewed: supporting details for Comparison

Review date: 29 October 2026.

Sources: [1] [2]

Results

Study 1: 11.2 minutes shorter (95% CI 4.2 to 18.2). Study 2: Door-to-groin SMD -0.50 (95% CI -0.66 to -0.35). [1] [2]

Fully reviewed: supporting details for Results

Review date: 29 October 2026.

Sources: [1] [2]

Additional value from AI

Study 1: 11.2 minutes. Study 2: Shorter workflow times; no significant change in clinical outcomes. [1] [2]

Fully reviewed: supporting details for Additional value from AI

Review date: 29 October 2026.

Sources: [1] [2]

Limitations

Study 1: Small number of clusters; transfers excluded; senior author received grants from the developer. Study 2: Mostly observational source studies, several by developer-linked authors. [1] [2]

Fully reviewed: supporting details for Limitations

Review date: 29 October 2026.

Sources: [1] [2]

Denominators

Study 1: Patients treated after activation at each center. Study 2: Patients treated after implementation. [1] [2]

Fully reviewed: supporting details for Denominators

Review date: 29 October 2026.

Sources: [1] [2]

Materials for replication

Study 1: Data sharing statement in supplement. Study 2: Supplementary file with extracted data. [1] [2]

Fully reviewed: supporting details for Materials for replication

Review date: 29 October 2026.

Sources: [1] [2]

Money

Kind of value

The kind of monetary value is unclear.

Not reviewedUnresolved

Amount

The monetary value is not established.

Not reviewedUnresolved

Currency and prices

The currency and price basis are unclear.

Not reviewedUnresolved

Period and unit

The period and unit of the monetary estimate are unclear.

Not reviewedUnresolved

Realization

Whether the monetary value was realized is unclear.

Not reviewedUnresolved

Recipients and payers

The recipients and payers are unclear.

Not reviewedUnresolved

Gross or net

Whether the monetary figure includes costs is unclear.

Not reviewedUnresolved

Included costs

The costs included in the estimate are unclear.

Not reviewedUnresolved

Comparison

The financial comparison is not established.

Not reviewedUnresolved

Method

The method used to calculate monetary value is unclear.

Not reviewedUnresolved

Return and payback

The return on investment or payback period is not established.

Not reviewedUnresolved

People and places

Participants

Developer: Viz.ai. Operator: Four comprehensive stroke centers in the greater Houston area (UTHealth Houston trial).

Awaiting review

Jurisdictions

Benefit: Four comprehensive stroke centers, greater Houston, Texas, United States. Developer: United States. Operator: United States.

Awaiting review

Ownership and control

Unresolved

Not reviewedUnresolved

Dependencies

Unresolved

Not reviewedUnresolved

Cross-border connections

Unresolved

Not reviewedUnresolved

Geopolitical implications

The geopolitical implications are unclear.

Not reviewedUnresolved

Follow-up

Conditions for replication

Stroke teams must act on phone alerts before the formal report. The centers must have thrombectomy capacity on site.

Awaiting review

Replication attempts

2 follow-up entries. Benefit recurred: 2.

Awaiting review

Later findings

Unresolved

Not reviewedUnresolved

Availability

Unresolved

Not reviewedUnresolved

Institutional decision

A relevant institutional decision has not been established.

Not reviewedUnresolved

Grounds

The grounds for an institutional decision are unclear.

Not reviewedUnresolved

Action and result

The result of an institutional decision is not established.

Not reviewedUnresolved

Success criterion

The criterion for a successful institutional decision is unclear.

Not reviewedUnresolved

Evidence

Source numbers

AIBD-0637-source-0001–0002

Awaiting review

Citations

Numbered references below.

Awaiting review

Language

Unresolved

Not reviewedUnresolved

Source relationships

Developer, Independent

Awaiting review

Original evidence

Unresolved

Not reviewedUnresolved

Access and versions

Unresolved

Not reviewedUnresolved

Supported findings

Unresolved

Not reviewedUnresolved

Evidence strength

Independently studied. Sources: one independent peer-reviewed study and the makers' peer-reviewed study. The cited evidence includes no finding by a regulator or court. [1] [2]

Fully reviewed: supporting details for Evidence strength

Review date: 29 October 2026.

Sources: [1] [2]

Missing evidence

Unresolved

Not reviewedUnresolved

Grades

Assessed benefits

People. Organizations.

Awaiting review

Depth

People: 2. Organizations: 1.

Awaiting review

Reasons

People: Patients reached thrombectomy 11.2 minutes sooner after hospital arrival, in a treatment whose benefit depends on time. Organizations: Time from CT to thrombectomy start fell by 9.8 minutes.

Awaiting review

Observed or intended

Unresolved

Not reviewedUnresolved

Rubric

Unresolved

Not reviewedUnresolved

Assessor and date

Unresolved

Not reviewedUnresolved

Alternative assessments

Unresolved

Not reviewedUnresolved

Fill

Independently studied

Awaiting review

Entry details

Kind

The case describes an evaluation or a study. A cluster-randomized stepped-wedge trial. [1]

Fully reviewed: supporting details for Kind

Review date: 29 October 2026.

Sources: [1]

Field

Healthcare.

Awaiting review

Purpose

The software was built to detect large vessel occlusion on CT angiograms and alert stroke teams. Faster thrombectomy was that purpose.

Awaiting review

Dates

Observed: 27 February 2022. Updated: 29 October 2026.

Awaiting review

Stage

The system was in routine use. The software was activated for clinical use at each center during the trial. [1]

Fully reviewed: supporting details for Stage

Review date: 29 October 2026.

Sources: [1]

Version

SHA-256: b0bfdaee5186…

Awaiting review: supporting details for Version

SHA-256 of the public case, its assessments, and its displayed answers and notes, excluding its own identifier and the derived coverage summary.

References

Other identifiers

Unresolved

Not reviewedUnresolved

Category mappings

Unresolved

Not reviewedUnresolved

Citable summary

Unresolved

Not reviewedUnresolved

Revisions

1 revision. Latest: 29 October 2026.

Awaiting review

Sources

  1. Peer-reviewed study Developer

    Martinez-Gutierrez JC, Kim Y, Salazar-Marioni S, et al. Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial. JAMA Neurol. 2023;80(11):1182-1190.

  2. Peer-reviewed study Independent author

    Sarhan K, Azzam AY, Moawad MHED, et al. Automated Emergent Large Vessel Occlusion Detection Using Viz.ai Software and Its Impact on Stroke Workflow Metrics and Patient Outcomes in Stroke Centers: A Systematic Review and Meta-analysis. Transl Stroke Res. 2025;16(6):2258-2271.

Cite this case

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Version b0bfdaee5186, archived in the edition of 29 October 2026

Benefit marks

Depth

The number and color show the depth of a benefit.

  1. Depth 1. A convenience, or time or money saved.
  2. Depth 2. A measurable improvement in a result or ability.
  3. Depth 3. A lasting change, an ability restored, or a risk removed.
  4. Depth 4. A serious harm averted or a serious condition resolved in time.
  5. Depth 5. A life or livelihood preserved, or a change documented across a population.

Beneficiary

  • Circle: a person
  • Square: an organization
  • Triangle: society

Evidence

  • Solid. A court or regulator found a benefit, or researchers independently studied it.

  • Hatched. Independent reporting.

  • Outline. Claimed by the parties. Only the people or organizations involved, or sources whose independence has not been assessed, support the benefit.

The fill changes with the evidence. The depth color stays the same.

How benefits are assessed