viz-pe

JSON twin: https://www.healthaidb.com/software/viz-pe.json

Company Name

Viz.ai

Product URL

https://www.viz.ai/pulmonary-embolism

Company URL

https://www.viz.ai

Categories

Summary

AI-powered CT triage and care-coordination tool that automatically detects suspected pulmonary embolism and quantifies RV/LV ratio to alert care teams.

Description

Viz PE is a module of the Viz.ai platform that analyzes chest CT/CTPA to identify suspected pulmonary embolism and right heart strain (RV/LV ratio), generates automated alerts to multidisciplinary care teams, and supports expedited triage and treatment through the Viz.ai HIPAA-compliant care-coordination workflow.

Api Available

yes

Certifications

Company Founding

2016

Company Offices

Compliance

Customers

Data Residency

Cloud hosting with US and EU region options (region-selectable)

Data Standards

Deployment Model

Features

Id

P2058

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

proprietary commercial

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, demo and trial information.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2023

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Viz.ai",
  "company_url": "https://www.viz.ai",
  "company_offices": [
    "United States",
    "Netherlands",
    "United Kingdom",
    "Israel",
    "Portugal"
  ],
  "company_founding": "2016",
  "product_url": "https://www.viz.ai/pulmonary-embolism",
  "categories": [
    "clinical",
    "diagnostic",
    "medical imaging",
    "workflow automation",
    "care coordination",
    "vascular"
  ],
  "market_segment": [
    "enterprise",
    "hospitals",
    "health systems"
  ],
  "links": [
    "https://www.viz.ai/pulmonary-embolism",
    "https://www.viz.ai/brochures/viz-aortic-and-viz-pe-modules",
    "https://www.viz.ai/business-entities",
    "https://help.viz.ai/article/44-viz-pe-overview",
    "https://www.viz.ai/trust-center",
    "https://healthairegister.com/products/vizai-pe",
    "https://www.viz.ai/news/viz-ai-receives-fda-510-k-clearance-for-automated-rv-lv-analysis-algorithm",
    "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K221100",
    "https://www.viz.ai/clinical-validation/automated-pe-clot-detection-and-rv-lv-ratio-measurement-using-ai-based-deep-learning-algorithms-a-preliminary-validation-study",
    "https://www.viz.ai/publications/shorter-time-to-assessment-and-ac-with-decreased-mortality-in-patients-with-pulmonary-embolism-following-implementation-of-artificial-intelligence-software"
  ],
  "summary": "AI-powered CT triage and care-coordination tool that automatically detects suspected pulmonary embolism and quantifies RV/LV ratio to alert care teams.",
  "description": "Viz PE is a module of the Viz.ai platform that analyzes chest CT/CTPA to identify suspected pulmonary embolism and right heart strain (RV/LV ratio), generates automated alerts to multidisciplinary care teams, and supports expedited triage and treatment through the Viz.ai HIPAA-compliant care-coordination workflow.",
  "target_users": [
    "radiologists",
    "emergency physicians",
    "interventional cardiologists",
    "pulmonologists",
    "vascular specialists",
    "hospitalists",
    "clinical coordinators",
    "administrators"
  ],
  "specialties": [
    "chest/radiology",
    "pulmonology",
    "vascular",
    "cardiology",
    "emergency medicine"
  ],
  "regions_available": [
    "United States",
    "European Union",
    "International"
  ],
  "languages_supported": [],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, demo and trial information.",
  "license": "proprietary commercial",
  "deployment_model": [
    "SaaS",
    "cloud",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Automated CT pulmonary embolism (PE) detection",
    "Automated RV/LV ratio measurement (right heart strain)",
    "Real‑time AI alerts/notifications to care team",
    "Care‑coordination workspace / multi‑specialty collaboration",
    "PERT (Pulmonary Embolism Response Team) activation support",
    "Triage prioritization and patient routing",
    "Study/image routing from PACS to AI engine",
    "Case review and communication threads",
    "Audit logging and case history",
    "Performance & outcome analytics / dashboards",
    "Configurable alert rules and escalation",
    "Integration with clinician mobile notifier app",
    "Automated measurement overlays on images",
    "Clinical evidence / study links within workflow"
  ],
  "optional_modules": [
    "RV/LV automated analysis (risk stratification)",
    "Aortic disease module",
    "Viz.ai One (enterprise orchestration/platform)",
    "Integration with Microsoft Cloud for Healthcare"
  ],
  "integrations": [
    "Epic",
    "Cerner (Oracle Cerner)",
    "PACS (DICOM‑compatible vendors)",
    "RIS",
    "Hospital EHRs (via standard interfaces)",
    "Microsoft Cloud for Healthcare",
    "Mobile push/notification platforms",
    "Vendor neutral archive (VNA)"
  ],
  "data_standards": [
    "DICOM",
    "HL7 v2",
    "FHIR"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "GDPR",
    "SOC 2"
  ],
  "certifications": [
    "FDA 510(k) clearance (PE/RV-LV algorithm)",
    "CE (EU medical device conformity)"
  ],
  "security_features": [
    "Encryption at rest",
    "Encryption in transit (TLS)",
    "Role‑based access control (RBAC)",
    "SSO/SAML",
    "Audit logs",
    "Two‑factor authentication (2FA)"
  ],
  "privacy_features": [
    "BAA available",
    "Data de‑identification/anonymization options",
    "Patient consent / privacy controls"
  ],
  "data_residency": "Cloud hosting with US and EU region options (region-selectable)",
  "customers": [
    "Delray Medical Center",
    "Palm Beach Health Network",
    "Tennant Health System",
    "Multiple US hospitals (Viz.ai states 1,600+ hospitals)"
  ],
  "user_reviews": [
    "Great design, easy to use, amazing technology! This app is a life saver, literally!",
    "Streamlines pulmonary embolism care and supports the Pulmonary Embolism Response Team workflow.",
    "The product works extremely well for its use case and has nailed the workflow and integration into clinical teams."
  ],
  "ratings": [
    "Black Book 2025 — Ranked #1 in Acute Care AI (diagnostic accuracy & clinical confidence)",
    "Health AI Register — Product entry and listing (Radiology Health AI Register)",
    "Published study summaries reporting improved outcomes (Applied Radiology / BusinessWire coverage of Viz.ai PE study)"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "professional services",
    "community"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online training",
    "onsite training",
    "implementation support"
  ],
  "release_year": "2023",
  "integration_partners": [
    "Cleerly",
    "Microsoft",
    "Epic",
    "Cerner",
    "PACS/VNA vendors (enterprise imaging)",
    "Avicenna.ai",
    "EHR integration partners (general)"
  ],
  "id": "P2058",
  "slug": "viz-pe",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/viz-pe.json"
  }
}