Input or output interoperability
DICOM is explicitly referenced in the described input, output, or workflow.
exact submission · checked 2026-09-01The model card does not establish every supported DICOM object, transfer method, or local interface.
FDA-cleared profile
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.
Clinical fit
Start with the authorized purpose, then verify how it fits your service line and reading workflow.
Exact-submission indication text from the ACR AI Central model card. FDA labeling remains controlling.
Intended-user text reported in the exact-submission ACR model card.
Confirm the intended care setting, patient population, and service line.
Conservative normalization of explicit wording in an exact-submission source.
Conservative normalization of explicit wording in an exact-submission source.
Clinical output reported in the exact-submission ACR model card.
Limitations and supported-acquisition details reported in the exact-submission ACR model card.
Regulatory identity
The FDA listing establishes the regulatory identity. It does not by itself establish local workflow fit, pricing, security, or performance in your environment.
Imaging modality reported in the exact-submission ACR AI Central model card.
Anatomy normalized from explicit exact-submission ACR model-card wording.
Implementation
Use these fields to structure a vendor demo, security review, and implementation estimate.
Interoperability terms explicitly reported in the exact-submission ACR model card; interface versions and local compatibility still require confirmation.
Deployment category preserved from the prior exact-submission review; hosting region, data flow, and current commercial configuration still require vendor confirmation.
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, onboarding, competency, and support commitments are commercial implementation details that require current vendor documentation.
Local acceptance testing, production monitoring, drift review, update control, and incident escalation require a current vendor and site-specific governance plan.
DICOM is explicitly referenced in the described input, output, or workflow.
exact submission · checked 2026-09-01The model card does not establish every supported DICOM object, transfer method, or local interface.
Scanner manufacturers: All
exact submission · checked 2026-09-01Confirm currently supported software versions, protocols, and site-specific acquisition configurations.
Evidence
Metrics are shown only when they are tied to a source, endpoint, population, and tested product version.
Structured study metadata from the exact-submission ACR model card; this is not an independent evidence synthesis.
Model sensitivity reported by ACR AI Central. Review endpoint, threshold, study population, and tested version before comparison.
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.
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 establishedK210209
ACR AI Central summarizes the regulatory study; consult the exact FDA materials before comparative use.
Economics and lifecycle
These are common procurement questions; unknown values remain visible until a source supports them.
FDA submission materials do not establish current commercial pricing. Request the pricing unit, term, minimum commitment, implementation fees, and included support from the vendor.
Determine whether any product-specific CPT/HCPCS pathway exists and separate it from billing for the underlying imaging service.
Safety and lifecycle
Recall and adverse-event records are shown only after product matching. Adverse-event reports do not establish incidence or causality.
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
Research record
This audit distinguishes completed source review from fields that have not yet been researched.
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
Sources accessed through 2026-09-02.
Alternatives
AVICENNA.AI
CINA analyzes nonenhanced head CT for suspected intracranial hemorrhage and head CTA for suspected large-vessel occlusion for computer-aided triage and notification in parallel...
Mlhealth 360
FDA product code QAS identifies this device class as Radiological Computer-Assisted Triage And Notification Software. Radiological computer-assisted triage and notification...
Brainomix Limited
FDA product code QAS identifies this device class as Radiological Computer-Assisted Triage And Notification Software. Radiological computer-assisted triage and notification...
Methinks Software S.L.
FDA product code QAS identifies this device class as Radiological Computer-Assisted Triage And Notification Software. Radiological computer-assisted triage and notification...