Bone VCAR

JSON twin: https://www.healthaidb.com/software/bone-vcar.json

Company Name

GE HealthCare

Product URL

https://www.gehealthcare.com/products/computed-tomography/advanced-visualization/bone-vcar

Company URL

https://www.gehealthcare.com

Categories

• imaging Software
• Clinical Imaging
• Advanced Visualization
• Spine Imaging

Summary

Bone VCAR is a deep-learning-based CT application by GE HealthCare that automates spine identification and labeling to enhance assessment efficiency and reporting consistency.

Description

Bone VCAR utilizes deep learning algorithms to automatically identify and label vertebrae in CT scans, achieving over 90% labeling accuracy. It generates 3D traces for oblique and straightened reformat views, and oblique views perpendicular to vertebral bodies and disc spaces. The software allows easy centerline editing for accurate placement in complex cases and supports various exam types, including trauma, oncology, dedicated spine, and general imaging. It can process multiple series, with vertebrae labeling propagating across different volumes, and is compatible with both full spine and limited spine segment acquisitions.

Api Available

unknown

Certifications

• FDA 510(k)
• CE/MDR
• ISO 13485

Company Founding

1892

Company Offices

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

Compliance

• HIPAA
• ISO 27001
• SOC 2
• GDPR

Customers

Data Residency

US/EU regions

Data Standards

• DICOM
• HL7 v2
• FHIR

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated spine labeling
• Automated generation of 3D trace for oblique and straightened reformat views
• Automated generation of oblique views perpendicular to vertebral bodies and disc spaces
• Editable centerline for accurate placement in challenging cases
• Accessible for various exam types: trauma, oncology, dedicated spine, general imaging
• Supports multiple series with vertebrae labeling propagation
• Compatible with full spine and limited spine acquisitions

Id

SW0561

Integration Partners

Integrations

• PACS systems
• Cloud storage solutions

Languages Supported

• English
• Turkish
• Arabic
• German
• French
• Spanish
• Italian
• Dutch
• Portuguese
• Russian
• Chinese
• Japanese
• Korean
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Urdu

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Advanced reporting tools
• Integration with PACS systems
• Cloud-based storage solutions

Os Platforms

• Windows
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Data anonymization

Product Code

SW0561

Product Name

Bone VCAR

Ratings

Regions Available

• United States
• United Kingdom
• Middle East
• Turkey
• Australia
• New Zealand

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

Specialties

• Orthopedics
• Neurology
• Oncology
• Trauma Care
• Spine Surgery

Support Channels

System Requirements

Windows Server 2016 or later, 16 GB RAM, 500 GB HDD

Target Users

• radiologists
• clinicians
• medical imaging professionals

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Bone VCAR",
  "company_name": "GE HealthCare",
  "product_url": "https://www.gehealthcare.com/products/computed-tomography/advanced-visualization/bone-vcar",
  "company_url": "https://www.gehealthcare.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0561",
  "summary": "Bone VCAR is a deep-learning-based CT application by GE HealthCare that automates spine identification and labeling to enhance assessment efficiency and reporting consistency.",
  "description": "Bone VCAR utilizes deep learning algorithms to automatically identify and label vertebrae in CT scans, achieving over 90% labeling accuracy. It generates 3D traces for oblique and straightened reformat views, and oblique views perpendicular to vertebral bodies and disc spaces. The software allows easy centerline editing for accurate placement in complex cases and supports various exam types, including trauma, oncology, dedicated spine, and general imaging. It can process multiple series, with vertebrae labeling propagating across different volumes, and is compatible with both full spine and limited spine segment acquisitions.",
  "categories": [
    "imaging Software",
    "Clinical Imaging",
    "Advanced Visualization",
    "Spine Imaging"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "clinicians",
    "medical imaging professionals"
  ],
  "specialties": [
    "Orthopedics",
    "Neurology",
    "Oncology",
    "Trauma Care",
    "Spine Surgery"
  ],
  "regions_available": [
    "United States",
    "United Kingdom",
    "Middle East",
    "Turkey",
    "Australia",
    "New Zealand"
  ],
  "languages_supported": [
    "English",
    "Turkish",
    "Arabic",
    "German",
    "French",
    "Spanish",
    "Italian",
    "Dutch",
    "Portuguese",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "United Kingdom",
    "Germany",
    "France",
    "Italy",
    "China",
    "India",
    "Japan",
    "South Korea",
    "Australia"
  ],
  "company_founding": "1892",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Windows",
    "Linux"
  ],
  "features": [
    "Automated spine labeling",
    "Automated generation of 3D trace for oblique and straightened reformat views",
    "Automated generation of oblique views perpendicular to vertebral bodies and disc spaces",
    "Editable centerline for accurate placement in challenging cases",
    "Accessible for various exam types: trauma, oncology, dedicated spine, general imaging",
    "Supports multiple series with vertebrae labeling propagation",
    "Compatible with full spine and limited spine acquisitions"
  ],
  "optional_modules": [
    "Advanced reporting tools",
    "Integration with PACS systems",
    "Cloud-based storage solutions"
  ],
  "integrations": [
    "PACS systems",
    "Cloud storage solutions"
  ],
  "data_standards": [
    "DICOM",
    "HL7 v2",
    "FHIR"
  ],
  "api_available": "unknown",
  "system_requirements": "Windows Server 2016 or later, 16 GB RAM, 500 GB HDD",
  "compliance": [
    "HIPAA",
    "ISO 27001",
    "SOC 2",
    "GDPR"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ISO 13485"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "Audit logs",
    "2FA"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Data anonymization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0561",
  "slug": "bone-vcar",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/bone-vcar.json"
  }
}