FDA-cleared profile

Viz ICH

Viz.ai, Inc.

Viz ICH is a notification-only, parallel workflow tool for use by hospital networks and trained clinicians to identify and communicate images of specific patients to a specialist, independent of standard of careworkflow. Viz ICH uses an artificial intelligence algorithm to analyze images for findings suggestive of a prespecified clinical condition and to notify an appropriate medical specialist of these findings in parallel to standard of care image interpretation. Identification of suspected findings is not for diagnostic use beyond notification. Specifically, the device analyzes non-contrast CT images of the brain acquired in the acute setting, and sends notifications to a neurovascular or neurosurgical specialist that a suspected intracranial hemorrhage has been identified and recommends review of those images. Images can be previewed through a mobileapplication. Images that are previewed through the mobile application may be compressed and are for informational purposes only and not intended for diagnostic use beyond notification. Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests. Viz ICH is limited to analysis of imaging data and should not be used in-lieu of full patient evaluation or relied upon to make or confirm diagnosis.

Evidence status: each field shows source quality, applicability, and review date. Research pending, information not established in reviewed sources, and vendor documentation pending are distinct outcomes.

Clinical fit

What this tool is for

Start with the authorized purpose, then verify how it fits your service line and reading workflow.

Exact purpose
Viz ICH is a notification-only, parallel workflow tool for use by hospital networks and trained clinicians to identify and communicate images of specific patients to a specialist, independent of standard of careworkflow. Viz ICH uses an artificial intelligence algorithm to analyze images for findings suggestive of a prespecified clinical condition and to notify an appropriate medical specialist of these findings in parallel to standard of care image interpretation. Identification of suspected findings is not for diagnostic use beyond notification. Specifically, the device analyzes non-contrast CT images of the brain acquired in the acute setting, and sends notifications to a neurovascular or neurosurgical specialist that a suspected intracranial hemorrhage has been identified and recommends review of those images. Images can be previewed through a mobileapplication. Images that are previewed through the mobile application may be compressed and are for informational purposes only and not intended for diagnostic use beyond notification. Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests. Viz ICH is limited to analysis of imaging data and should not be used in-lieu of full patient evaluation or relied upon to make or confirm diagnosis.
Public source Exact FDA submission Checked 2026-09-01

Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.

Intended users
Neurovascular or neurosurgical specialist; hospital networks and trained clinicians
Public source Exact FDA submission Checked 2026-09-01

Intended-user text reported in the exact-submission ACR model card.

Care setting and population
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Confirm the intended care setting, patient population, and service line.

Workflow role
Triage or notification support
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Required input
CT images or data. Inclusion criteria: Non-contrast CT (NCCT) images of the head acquired in the acute setting from DICOM compliant imaging devices
Public source Exact FDA submission Checked 2026-09-01

Conservative normalization of explicit wording in an exact-submission source.

Output and human action
The AI algorithm outputs a notification to a neurovascular or neurosurgical specialist when a suspected intracranial hemorrhage (ICH) is identified on non-contrast CT images of the brain. The device sends push notifications and allows preview of non-diagnostic CT images through a mobile application. No image markings are applied to the original images.
Public source Exact FDA submission Checked 2026-09-01

Clinical output reported in the exact-submission ACR model card.

Limitations
Scanner manufacturers: All
Public source Exact FDA submission Checked 2026-09-01

Limitations and supported-acquisition details reported in the exact-submission ACR model card.

Regulatory identity

FDA record and catalog context

The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.

FDA submission
K210209
FDA source Exact FDA submission Checked 2026-08-31
Modality
CT/CTA
Public source Exact FDA submission Checked 2026-09-01

Imaging modality reported in the exact-submission ACR AI Central model card.

Anatomy
Brain
Public source Exact FDA submission Checked 2026-09-01

Anatomy normalized from explicit exact-submission ACR model-card wording.

Clearance type
510(k)
FDA source Exact FDA submission Checked 2026-08-31
Decision date
2021-03-23
FDA source Exact FDA submission Checked 2026-08-31
FDA status
FDA-cleared
FDA source Exact FDA submission Checked 2026-08-31

Implementation

Questions for IT, informatics, and operations

Use these fields to structure a vendor demo, security review, and implementation estimate.

Integration
The exact-submission ACR model card explicitly references DICOM in the described input, output, or workflow; exact interfaces, versions, and local compatibility require confirmation.
Public source Exact FDA submission Checked 2026-09-01

Interoperability terms explicitly reported in the exact-submission ACR model card; interface versions and local compatibility still require confirmation.

Deployment and data flow
On-cloud
Public source Exact FDA submission Checked 2026-08-13

Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.

Security and privacy
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA authorization does not establish the current commercial security posture. Request data-flow diagrams, hosting and retention details, access controls, audit logging, attestations, and incident-response documentation.

Training and support
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Training, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.

Monitoring and change control
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.

Input or output interoperability

DICOM is explicitly referenced in the described input, output, or workflow.

exact submission · checked 2026-09-01

The model card does not establish every supported DICOM object, transfer method, or local interface.

Supported acquisition environment

Scanner manufacturers: All

exact submission · checked 2026-09-01

Confirm currently supported software versions, protocols, and site-specific acquisition configurations.

Evidence

Performance evidence

Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.

Evidence summary
Study type: Stand-Alone Performance. Cases: 387. Sites: 2. Reported sensitivity: 95% (95% CI: 91%, 98%). Reported specificity: 96% (95% CI: 92%, 98%). Reported accuracy: 87%
Public source Exact FDA submission Checked 2026-09-01

Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.

Reported sensitivity
95% (95% CI: 91%, 98%)
Public source Exact FDA submission Checked 2026-09-01

Model sensitivity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

Reported specificity
96% (95% CI: 92%, 98%)
Public source Exact FDA submission Checked 2026-09-01

Model specificity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.

No contextualized exact-version metric has completed evidence review. Regulatory-document values, when available, are shown above with their limitations.

Viz ICH regulatory performance study summary

Stand-Alone Performance · Population described in the exact-submission ACR model card

exact submission · Tested version: Exact product version not reported; regulatory study summarized for FDA submission K210209 · n=387 · 2 sites · Independence not established

K210209

ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.

Economics and lifecycle

Budget and ongoing governance

These are common procurement questions; unknown values remain visible until a source supports them.

Pricing and total cost
Vendor documentation pending
Vendor confirmation Exact FDA submission Checked 2026-08-13

FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.

Reimbursement and coding
Research pending
Needs research Exact FDA submission Checked 2026-08-31

Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.

Safety and lifecycle

Postmarket record

Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.

Postmarket safety review
Not established in reviewed sources
Reviewed sources checked Exact FDA submission Checked 2026-09-04

No native submission-identifier match was found in the checked openFDA radiology recall snapshot. Product-name, manufacturer, and adverse-event searches remain necessary; this does not establish that no recall or safety report exists.

Buyer worksheet

Open questions to take to the vendor

Open evaluation checklist

Research record

What has been checked

This audit distinguishes completed source review from fields that have not yet been researched.

Exact FDA record reviewedStatus
2026-09-04Last searched
19Fields reviewed
6Source classes checked
2Unreviewed PubMed leads
2Unreviewed trial leads
0Unreviewed FDA recall leads

Exact-submission ACR model-card fields were normalized under the current provenance rules; vendor and independent-study confirmation remain distinct. Automated exact-name discovery found 2 PubMed and 2 ClinicalTrials.gov candidate records. Candidates require human product and version matching; zero candidates is not evidence that no studies exist. Native FDA recall identifiers produced 0 postmarket candidate records; 0 have been reviewed (0 published, 0 rejected) and 0 remain unreviewed.

Candidate leads remain unpublished until a human confirms the exact product and tested version.

Source classes: fda ai list, fda decision summary, acr ai central product, pubmed, clinical trials, openfda device recall

Sources

Source ledger

Sources accessed through 2026-09-02.

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Modality
CT/CTA
Anatomy
Brain
Decision
2025-08-20