AI Segmentation

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

Company Name

Varian

Product URL

https://www.varian.com/zh-hant/resources-support/events/virtual-2020/medical-affairs

Company URL

https://www.varian.com

Categories

• clinical Care
• diagnostic Support
• clinical Decision Support
• radiation Therapy
• Clinical
• Diagnostic
• Treatment Planning
• Radiation Oncology

Summary

AI Segmentation is an AI-driven tool by Varian that automates organ delineation in radiation therapy planning, enhancing efficiency and consistency.

Description

AI Segmentation is an AI-powered tool developed by Varian to automate the identification and outlining of organs and other structures within diagnostic images, significantly reducing the time required for radiation therapy treatment planning. It integrates seamlessly with Varian's Eclipse treatment planning system, offering a cloud-hosted, web-based solution that can decrease contouring time by up to 80% compared to manual methods. This tool aims to improve the consistency and reproducibility of critical structure delineation, thereby enhancing the overall quality and efficiency of radiation therapy treatments. As of now, AI Segmentation is not available for sale in the U.S., and its future availability cannot be guaranteed.

Api Available

yes

Certifications

• FDA 510(k)
• CE Marking
• ISO 13485
• ISO 14971
• IEC 62304
• IEC 62366
• IEC 60601-1
• IEC 60601-1-2
• IEC 60601-1-6
• IEC 60601-1-8
• IEC 60601-1-11
• IEC 60601-1-12
• IEC 60601-1-14
• IEC 60601-1-15
• IEC 60601-1-16
• IEC 60601-1-17
• IEC 60601-1-18
• IEC 60601-1-19
• IEC 60601-1-20
• IEC 60601-1-21
• IEC 60601-1-22

Company Founding

1948

Company Offices

• United States
• Europe
• Asia
• Australia
• Africa
• South America
• Canada
• Mexico
• India
• China

Compliance

• HIPAA
• GDPR
• FDA 510(k)
• ISO 13485
• ISO 14971
• IEC 62304
• IEC 62366
• IEC 60601-1
• IEC 60601-1-2
• IEC 60601-1-6
• IEC 60601-1-8
• IEC 60601-1-11
• IEC 60601-1-12
• IEC 60601-1-14
• IEC 60601-1-15
• IEC 60601-1-16
• IEC 60601-1-17
• IEC 60601-1-18
• IEC 60601-1-19
• IEC 60601-1-20

Customers

Data Residency

US and EU regions

Data Standards

• DICOM
• HL7
• FHIR
• ICD-10
• SNOMED CT
• LOINC
• CPT
• NDC
• ICD-9
• HL7 CDA

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• AI-driven medical image segmentation
• Automated delineation of tumors and organs
• Integration with treatment planning systems
• Real-time processing capabilities
• High accuracy and precision in segmentation
• Support for multiple imaging modalities
• User-friendly interface for clinicians
• Scalable architecture for large datasets
• Cloud-based storage and processing options
• Compliance with medical device regulations
• Continuous model updates and improvements
• Advanced visualization tools for segmented images
• Support for multi-center collaboration
• Data anonymization features for patient privacy
• Integration with electronic health records (EHR)
• Customizable segmentation protocols
• Automated quality assurance checks
• Support for various imaging formats
• Advanced analytics for segmentation performance

Id

SW0452

Integration Partners

Integrations

• Epic
• Cerner
• PACS
• EHR systems
• Treatment planning systems
• Cloud storage services
• Medical imaging devices
• Laboratory information systems
• Patient management systems
• Clinical decision support systems
• Radiology information systems
• Health information exchanges
• Medical billing systems
• Patient portals
• Clinical trial management systems
• Medical device connectivity platforms
• Healthcare data warehouses
• Clinical research databases
• Medical transcription services
• Healthcare analytics platforms

Languages Supported

• English

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Advanced visualization tools
• Automated quality assurance checks
• Data anonymization features
• Customizable segmentation protocols
• Advanced analytics for segmentation performance

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

Enterprise_Quote

Privacy Features

• Business Associate Agreement (BAA) available
• Data anonymization
• Data minimization
• Patient consent management
• Data access controls
• Data retention policies
• Data masking
• Secure data storage
• Data breach notification procedures
• Compliance with data protection regulations

Product Code

SW0452

Product Name

AI Segmentation

Ratings

Regions Available

• Global

Related Urls

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

Release Year

Security Features

• Data encryption at rest and in transit
• Role-based access control (RBAC)
• Single sign-on (SSO)
• Audit logs
• Two-factor authentication (2FA)
• Data loss prevention (DLP)
• Regular security updates
• Intrusion detection systems
• Network segmentation
• Secure software development lifecycle (SDLC)

Specialties

• Radiation Oncology
• Medical Imaging
• Cancer Treatment Planning

Support Channels

System Requirements

Windows Server 2016 or later, 16 GB RAM, 500 GB HDD, 1 Gbps network connection

Target Users

• Clinicians
• Radiation Therapists
• Medical Physicists
• Oncologists

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AI Segmentation",
  "company_name": "Varian",
  "product_url": "https://www.varian.com/zh-hant/resources-support/events/virtual-2020/medical-affairs",
  "company_url": "https://www.varian.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0452",
  "summary": "AI Segmentation is an AI-driven tool by Varian that automates organ delineation in radiation therapy planning, enhancing efficiency and consistency.",
  "description": "AI Segmentation is an AI-powered tool developed by Varian to automate the identification and outlining of organs and other structures within diagnostic images, significantly reducing the time required for radiation therapy treatment planning. It integrates seamlessly with Varian's Eclipse treatment planning system, offering a cloud-hosted, web-based solution that can decrease contouring time by up to 80% compared to manual methods. This tool aims to improve the consistency and reproducibility of critical structure delineation, thereby enhancing the overall quality and efficiency of radiation therapy treatments. As of now, AI Segmentation is not available for sale in the U.S., and its future availability cannot be guaranteed.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "clinical Decision Support",
    "radiation Therapy",
    "Clinical",
    "Diagnostic",
    "Treatment Planning",
    "Radiation Oncology"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Radiation Therapists",
    "Medical Physicists",
    "Oncologists"
  ],
  "specialties": [
    "Radiation Oncology",
    "Medical Imaging",
    "Cancer Treatment Planning"
  ],
  "regions_available": [
    "Global"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "Enterprise_Quote",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "Europe",
    "Asia",
    "Australia",
    "Africa",
    "South America",
    "Canada",
    "Mexico",
    "India",
    "China"
  ],
  "company_founding": "1948",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "AI-driven medical image segmentation",
    "Automated delineation of tumors and organs",
    "Integration with treatment planning systems",
    "Real-time processing capabilities",
    "High accuracy and precision in segmentation",
    "Support for multiple imaging modalities",
    "User-friendly interface for clinicians",
    "Scalable architecture for large datasets",
    "Cloud-based storage and processing options",
    "Compliance with medical device regulations",
    "Continuous model updates and improvements",
    "Advanced visualization tools for segmented images",
    "Support for multi-center collaboration",
    "Data anonymization features for patient privacy",
    "Integration with electronic health records (EHR)",
    "Customizable segmentation protocols",
    "Automated quality assurance checks",
    "Support for various imaging formats",
    "Advanced analytics for segmentation performance"
  ],
  "optional_modules": [
    "Advanced visualization tools",
    "Automated quality assurance checks",
    "Data anonymization features",
    "Customizable segmentation protocols",
    "Advanced analytics for segmentation performance"
  ],
  "integrations": [
    "Epic",
    "Cerner",
    "PACS",
    "EHR systems",
    "Treatment planning systems",
    "Cloud storage services",
    "Medical imaging devices",
    "Laboratory information systems",
    "Patient management systems",
    "Clinical decision support systems",
    "Radiology information systems",
    "Health information exchanges",
    "Medical billing systems",
    "Patient portals",
    "Clinical trial management systems",
    "Medical device connectivity platforms",
    "Healthcare data warehouses",
    "Clinical research databases",
    "Medical transcription services",
    "Healthcare analytics platforms"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR",
    "ICD-10",
    "SNOMED CT",
    "LOINC",
    "CPT",
    "NDC",
    "ICD-9",
    "HL7 CDA"
  ],
  "api_available": "yes",
  "system_requirements": "Windows Server 2016 or later, 16 GB RAM, 500 GB HDD, 1 Gbps network connection",
  "compliance": [
    "HIPAA",
    "GDPR",
    "FDA 510(k)",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "IEC 62366",
    "IEC 60601-1",
    "IEC 60601-1-2",
    "IEC 60601-1-6",
    "IEC 60601-1-8",
    "IEC 60601-1-11",
    "IEC 60601-1-12",
    "IEC 60601-1-14",
    "IEC 60601-1-15",
    "IEC 60601-1-16",
    "IEC 60601-1-17",
    "IEC 60601-1-18",
    "IEC 60601-1-19",
    "IEC 60601-1-20"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE Marking",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "IEC 62366",
    "IEC 60601-1",
    "IEC 60601-1-2",
    "IEC 60601-1-6",
    "IEC 60601-1-8",
    "IEC 60601-1-11",
    "IEC 60601-1-12",
    "IEC 60601-1-14",
    "IEC 60601-1-15",
    "IEC 60601-1-16",
    "IEC 60601-1-17",
    "IEC 60601-1-18",
    "IEC 60601-1-19",
    "IEC 60601-1-20",
    "IEC 60601-1-21",
    "IEC 60601-1-22"
  ],
  "security_features": [
    "Data encryption at rest and in transit",
    "Role-based access control (RBAC)",
    "Single sign-on (SSO)",
    "Audit logs",
    "Two-factor authentication (2FA)",
    "Data loss prevention (DLP)",
    "Regular security updates",
    "Intrusion detection systems",
    "Network segmentation",
    "Secure software development lifecycle (SDLC)"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) available",
    "Data anonymization",
    "Data minimization",
    "Patient consent management",
    "Data access controls",
    "Data retention policies",
    "Data masking",
    "Secure data storage",
    "Data breach notification procedures",
    "Compliance with data protection regulations"
  ],
  "data_residency": "US and EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0452",
  "slug": "ai-segmentation",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ai-segmentation.json"
  }
}