QVCAD System

JSON twin: https://www.healthaidb.com/software/qvcad-system.json

Company Name

QView Medical

Product URL

https://www.qviewmedical.com/copy-of-testimonials-1

Company URL

https://www.qviewmedical.com

Categories

• imaging Software
• radiology
• ai Clinical Documentation Integrity
• clinical Decision Support
• oncology Care
• healthcare Software Solutions
• healthcare Technology
• medical Device
• Clinical Imaging
• Diagnostic Imaging
• Medical Imaging
• Artificial Intelligence
• Breast Cancer Detection
• Ultrasound Imaging
• Medical Software
• Medical Devices

Summary

QVCAD is an AI-powered computer-aided detection system designed to assist radiologists in interpreting 3D Automated Breast Ultrasound (ABUS) images, enhancing the detection of breast cancer in women with dense breast tissue.

Description

QVCAD integrates advanced image processing algorithms and artificial neural networks to identify suspicious areas in 3D ABUS images, providing concurrent reading capabilities that reduce interpretation time by up to 33% while maintaining diagnostic accuracy. It is FDA-approved for use with GE Invenia ABUS systems and has been utilized in over 20,000 ABUS cases, including 3,000 cancer cases, across approximately 30 sites worldwide.

Api Available

unknown

Certifications

• FDA PMA approved, Class III
• CE Mark certified, Class unknown

Company Founding

2006

Company Offices

• United States
• Germany
• China
• Japan
• South Korea
• Italy
• France
• United Kingdom
• India
• Canada

Compliance

• HIPAA
• FDA 21 CFR Part 820
• ISO 13485
• SOC 2 Type II
• ISO 27001

Customers

Data Residency

US/EU regions

Data Standards

• DICOM
• HL7
• FHIR

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Breast abnormality detection
• Region analysis
• Concurrent reading of ABUS exams
• Synthetic 2D images of volumetric datasets
• C-thru images for visual overview
• Hover Mode for localized review
• Integration with GE Invenia ABUS 2.0

Id

SW0618

Integration Partners

Integrations

• GE Invenia ABUS 2.0
• PACS systems
• RIS systems
• HIS systems
• EHR systems

Languages Supported

• English
• Spanish
• French
• German
• Chinese
• Japanese
• Korean
• Italian
• Portuguese
• Russian

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Enhanced diagnostic confidence tools
• Advanced image processing algorithms

Os Platforms

• Web
• Windows
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0618

Product Name

QVCAD System

Ratings

Regions Available

• United States
• Europe
• Asia
• North America

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

Security Features

• Encryption
• RBAC
• Audit logs
• 2FA
• DLP

Specialties

• Radiology
• Oncology
• Breast Imaging
• Medical Imaging
• Women's Health

Support Channels

System Requirements

• Windows Server 2016 or later
• Linux (Ubuntu 18.04 or later)
• Minimum 16 GB RAM
• Minimum 500 GB storage

Target Users

• Radiologists
• Medical Imaging Professionals
• Healthcare Providers
• Clinicians

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "QVCAD System",
  "company_name": "QView Medical",
  "product_url": "https://www.qviewmedical.com/copy-of-testimonials-1",
  "company_url": "https://www.qviewmedical.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0618",
  "summary": "QVCAD is an AI-powered computer-aided detection system designed to assist radiologists in interpreting 3D Automated Breast Ultrasound (ABUS) images, enhancing the detection of breast cancer in women with dense breast tissue.",
  "description": "QVCAD integrates advanced image processing algorithms and artificial neural networks to identify suspicious areas in 3D ABUS images, providing concurrent reading capabilities that reduce interpretation time by up to 33% while maintaining diagnostic accuracy. It is FDA-approved for use with GE Invenia ABUS systems and has been utilized in over 20,000 ABUS cases, including 3,000 cancer cases, across approximately 30 sites worldwide.",
  "categories": [
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    "medical Device",
    "Clinical Imaging",
    "Diagnostic Imaging",
    "Medical Imaging",
    "Radiology",
    "Artificial Intelligence",
    "Breast Cancer Detection",
    "Ultrasound Imaging",
    "Medical Software",
    "Healthcare Technology",
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  "market_segment": [
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  "target_users": [
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    "Healthcare Providers",
    "Clinicians"
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  "specialties": [
    "Radiology",
    "Oncology",
    "Breast Imaging",
    "Medical Imaging",
    "Women's Health"
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  "regions_available": [
    "United States",
    "Europe",
    "Asia",
    "North America"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Chinese",
    "Japanese",
    "Korean",
    "Italian",
    "Portuguese",
    "Russian"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "Germany",
    "China",
    "Japan",
    "South Korea",
    "Italy",
    "France",
    "United Kingdom",
    "India",
    "Canada"
  ],
  "company_founding": "2006",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "Windows",
    "Linux"
  ],
  "features": [
    "Breast abnormality detection",
    "Region analysis",
    "Concurrent reading of ABUS exams",
    "Synthetic 2D images of volumetric datasets",
    "C-thru images for visual overview",
    "Hover Mode for localized review",
    "Integration with GE Invenia ABUS 2.0"
  ],
  "optional_modules": [
    "Enhanced diagnostic confidence tools",
    "Advanced image processing algorithms"
  ],
  "integrations": [
    "GE Invenia ABUS 2.0",
    "PACS systems",
    "RIS systems",
    "HIS systems",
    "EHR systems"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR"
  ],
  "api_available": "unknown",
  "system_requirements": [
    "Windows Server 2016 or later",
    "Linux (Ubuntu 18.04 or later)",
    "Minimum 16 GB RAM",
    "Minimum 500 GB storage"
  ],
  "compliance": [
    "HIPAA",
    "FDA 21 CFR Part 820",
    "ISO 13485",
    "SOC 2 Type II",
    "ISO 27001"
  ],
  "certifications": [
    "FDA PMA approved, Class III",
    "CE Mark certified, Class unknown"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "Audit logs",
    "2FA",
    "DLP"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0618",
  "slug": "qvcad-system",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/qvcad-system.json"
  }
}