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Verified July 24, 2026AI Cardiovascular Care Coordination

Viz.ai

Viz.ai / viz.ai

AI care coordination platform that uses computer vision to detect cardiovascular and neurological conditions from medical imaging in real time, accelerating specialist notification and treatment.

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Pricing

Free

Free plan

No

Category

Developer Tools

Platforms

3

Free plan

No

API access

No

Open source

No

Platforms

3

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What is Viz.ai?

Viz.ai is an AI care coordination platform that analyses medical imaging — CT scans, MRI, echocardiograms — in real time to identify time-critical conditions and immediately notify the relevant specialist through a secure messaging platform. The goal is reducing the time between imaging and specialist treatment, which in conditions like stroke or pulmonary embolism directly affects patient outcomes.

The Large Vessel Occlusion (LVO) stroke detection is Viz.ai's foundational capability and FDA-cleared application. When a CT angiogram shows signs of LVO — a stroke type requiring immediate thrombectomy — Viz.ai's AI notifies the neurovascular team simultaneously with the radiologist reading the scan, rather than waiting for the sequential notification chain that traditional workflows require. This parallel notification can reduce time to treatment by 30-60 minutes.

Viz.ai has expanded beyond stroke to cover cardiovascular conditions including pulmonary embolism, aortic disease, and structural heart conditions. The care coordination platform handles the logistics of who to notify, which specialist is on call, and the communication between the care team from a single mobile application.

With FDA clearance for multiple indications, published clinical evidence of outcome improvements, and deployments at over 1,400 hospitals in the US and Europe, Viz.ai is one of the most clinically validated AI medical imaging companies.

healthcareaiimagingcardiovascularstrokefda-cleared
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How Viz.ai works

Viz.ai runs as computer vision software built around image and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, ios (specialist notification), and ehr integrated.

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Viz.ai.

01

AI imaging analysis

Real-time computer vision analysis of CT, MRI, and echo studies to identify time-critical cardiovascular conditions at the moment of imaging completion.

02

Parallel specialist notification

Notifies the relevant specialist team simultaneously with radiologist reading rather than through sequential notification chains, reducing time to treatment.

03

Care coordination platform

Secure mobile communication platform managing specialist notification, on-call identification, and team communication for time-critical cardiovascular cases.

AI medical imaging analysis (CT, MRI, echo)LVO stroke detection (FDA-cleared)Pulmonary embolism detectionAortic disease detectionReal-time specialist notificationSecure care team communicationCare coordination workflowClinical outcome analyticsEHR integrationMulti-site hospital network

Best use cases

Time-critical cardiovascular condition detection
Stroke care pathway acceleration
Pulmonary embolism care coordination
Structural heart disease workflow
Hospital care quality improvement

Who should use it

Radiologists
Emergency physicians
Neurologists
Cardiologists
Hospital systems and health networks

Pros

  • FDA clearance and published clinical evidence validate AI accuracy for critical cardiovascular indications
  • Parallel specialist notification can reduce time to treatment by 30-60 minutes in stroke cases
  • 1,400+ hospital deployments provide strong clinical reference evidence
  • Care coordination platform handles team logistics beyond just detection alerts

Cons

  • Enterprise hospital licensing only — no individual or clinic access
  • Clinical benefit dependent on implementation and hospital workflow integration quality
  • FDA clearance is indication-specific — review which conditions are cleared for clinical use

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Pricing Analysis

Is it worth the price?

Enterprise licensing to health systems and hospitals. No public pricing or individual access.

Model

Enterprise

Starting price

Free

Free trial

No

Similar Tools

Tools like Viz.ai

Aidoc provides AI triage for radiology workflows broadly. Subtle Medical is a competitor in AI medical imaging. RapidAI is a strong competitor specifically in stroke and pulmonary embolism AI. Enlitic focuses on radiology workflow AI.

Comparison

Viz.ai vs Hugging Face

A side-by-side look at the closest alternative in this category.

Viz.ai favicon

Viz.ai

Viz.ai

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Hugging Face

Hugging Face

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Cardiovascular Care Coordination
AI Model Hub
Company
Viz.ai
Hugging Face
Status
Active
Active
Launch year
2018
2016
Tags
healthcareaiimagingcardiovascularstrokefda-cleared
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Enterprise
Freemium
Free plan
No
Yes
Free trial
✕
✕
Pricing notes

Enterprise licensing to health systems and hospitals. No public pricing or individual access.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
Time-critical cardiovascular condition detectionStroke care pathway accelerationPulmonary embolism care coordinationStructural heart disease workflowHospital care quality improvement
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
RadiologistsEmergency physiciansNeurologistsCardiologistsHospital systems and health networks
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
Computer Vision
ML Platform
Modalities
ImageData
TextImageAudioVideoCode
Technical
Model provider
Viz.ai
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✕
✓
Open source
✕
✓
Deployment
EnterpriseSaaS
SaaSAPIOpen Source
Platforms
WebiOS (specialist notification)EHR integrated
WebPython library
Integrations
EpicCernerGE HealthcarePhilipsSiemens HealthineersAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✓
✓
Trust & security
Security

HIPAA compliant with BAA. SOC 2 Type II. FDA cleared for specific indications. ISO 13485 medical device quality management. Enterprise data handling agreements.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Medical imaging data and patient information processed under HIPAA BAA with medical device security standards. FDA cleared for specific clinical indications. Review indication-specific clearance documentation.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • FDA clearance and published clinical evidence validate AI accuracy for critical cardiovascular indications
  • Parallel specialist notification can reduce time to treatment by 30-60 minutes in stroke cases
  • 1,400+ hospital deployments provide strong clinical reference evidence
  • Care coordination platform handles team logistics beyond just detection alerts
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Enterprise hospital licensing only — no individual or clinic access
  • Clinical benefit dependent on implementation and hospital workflow integration quality
  • FDA clearance is indication-specific — review which conditions are cleared for clinical use
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Viz.ai

Platforms

Web, iOS (specialist notification), EHR integrated

Deployment

Enterprise, SaaS

Integrations

Epic, Cerner, GE Healthcare, Philips, Siemens Healthineers, API

Team Collaboration

Yes

Launch Year

2018

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

HIPAA compliant with BAA. SOC 2 Type II. FDA cleared for specific indications. ISO 13485 medical device quality management. Enterprise data handling agreements.

Medical imaging data and patient information processed under HIPAA BAA with medical device security standards. FDA cleared for specific clinical indications. Review indication-specific clearance documentation.

Reviews

What users are saying

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FAQ

Common questions about Viz.ai

No, enterprise hospital licensing only. Contact Viz.ai for health system pricing.

Editorial Verdict

Should you use Viz.ai?

Viz.ai is the leading AI care coordination platform for time-critical cardiovascular and neurological conditions in hospital settings, with strong FDA clearance and clinical outcome evidence.

Last verified July 24, 2026.

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