Auto Segmentation

JSON twin: https://www.healthaidb.com/software/auto-segmentation.json

Company Name

GE HealthCare

Product URL

https://www.gehealthcare.com/products/advanced-visualization/all-applications/auto-segmentation

Company URL

https://www.gehealthcare.com

Categories

• clinical Care
• diagnostic Support
• radiation Therapy
• ai Clinical Documentation Integrity
• clinical Decision Support
• imaging Software
• Clinical
• Diagnostic
• Radiotherapy Planning
• Artificial Intelligence
• Medical Imaging

Summary

Auto Segmentation is a deep learning application by GE HealthCare that automates the identification, contouring, and labeling of organs at risk (OARs) in CT images for radiotherapy planning, enhancing workflow efficiency and consistency.

Description

Auto Segmentation utilizes deep learning algorithms to process CT images acquired for radiotherapy planning, automatically identifying, contouring, and labeling OARs. This automation accelerates the radiotherapy planning workflow, seamlessly integrates into existing processes, and standardizes OAR segmentation, thereby reducing manual effort and variability. The application is designed to work on qualified GE HealthCare CT scanners, ensuring compatibility and optimal performance. It was recently 510(k) cleared by the U.S. FDA and CE Marked, reflecting its compliance with regulatory standards. This innovation underscores GE HealthCare's commitment to leveraging artificial intelligence to improve radiation therapy efficiency and precision care.

Api Available

unknown

Certifications

• FDA 510(k)
• CE Marked

Company Founding

2022

Company Offices

• United States
• United Kingdom
• Italy

Compliance

• FDA 510(k)
• CE Marked

Customers

Data Residency

US/EU regions

Data Standards

• DICOM

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated segmentation of organs at risk (OARs) during radiotherapy planning
• Deep learning algorithm-based application
• Reads CT images acquired for radiotherapy planning
• Automatically identifies, contours, and labels OARs
• Accelerates RT planning workflow by automating OAR contouring
• Seamlessly integrates automated segmentation into existing RT workflow
• Drives consistency by automating and standardizing OAR segmentation

Id

SW0355

Integration Partners

Integrations

• GE HealthCare CT scanners

Languages Supported

• English
• Italian

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Enterprise Quote

Privacy Features

• BAA available
• Consent management
• Data anonymization

Product Code

SW0355

Product Name

Auto Segmentation

Ratings

Regions Available

• United States
• European Union
• United Kingdom
• Italy

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

Specialties

• Radiology
• Oncology
• Medical Imaging

Support Channels

System Requirements

GE HealthCare CT scanners

Target Users

• Radiologists
• Oncologists
• Medical Physicists
• Radiotherapy Planners

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "Auto Segmentation",
  "company_name": "GE HealthCare",
  "product_url": "https://www.gehealthcare.com/products/advanced-visualization/all-applications/auto-segmentation",
  "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": "SW0355",
  "summary": "Auto Segmentation is a deep learning application by GE HealthCare that automates the identification, contouring, and labeling of organs at risk (OARs) in CT images for radiotherapy planning, enhancing workflow efficiency and consistency.",
  "description": "Auto Segmentation utilizes deep learning algorithms to process CT images acquired for radiotherapy planning, automatically identifying, contouring, and labeling OARs. This automation accelerates the radiotherapy planning workflow, seamlessly integrates into existing processes, and standardizes OAR segmentation, thereby reducing manual effort and variability. The application is designed to work on qualified GE HealthCare CT scanners, ensuring compatibility and optimal performance. It was recently 510(k) cleared by the U.S. FDA and CE Marked, reflecting its compliance with regulatory standards. This innovation underscores GE HealthCare's commitment to leveraging artificial intelligence to improve radiation therapy efficiency and precision care.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "radiation Therapy",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "imaging Software",
    "Clinical",
    "Diagnostic",
    "Radiotherapy Planning",
    "Artificial Intelligence",
    "Medical Imaging"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Radiologists",
    "Oncologists",
    "Medical Physicists",
    "Radiotherapy Planners"
  ],
  "specialties": [
    "Radiology",
    "Oncology",
    "Medical Imaging"
  ],
  "regions_available": [
    "United States",
    "European Union",
    "United Kingdom",
    "Italy"
  ],
  "languages_supported": [
    "English",
    "Italian"
  ],
  "pricing_model": "Enterprise Quote",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "United Kingdom",
    "Italy"
  ],
  "company_founding": "2022",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated segmentation of organs at risk (OARs) during radiotherapy planning",
    "Deep learning algorithm-based application",
    "Reads CT images acquired for radiotherapy planning",
    "Automatically identifies, contours, and labels OARs",
    "Accelerates RT planning workflow by automating OAR contouring",
    "Seamlessly integrates automated segmentation into existing RT workflow",
    "Drives consistency by automating and standardizing OAR segmentation"
  ],
  "optional_modules": [],
  "integrations": [
    "GE HealthCare CT scanners"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "GE HealthCare CT scanners",
  "compliance": [
    "FDA 510(k)",
    "CE Marked"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE Marked"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "Audit logs"
  ],
  "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": "SW0355",
  "slug": "auto-segmentation",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/auto-segmentation.json"
  }
}