Lymph Node Metastasis AI

JSON twin: https://www.healthaidb.com/software/lymph-node-metastasis-ai.json

Company Name

Aiforia

Product URL

https://www.aiforia.com/products/lymph-node-metastasis-ai

Company URL

https://www.aiforia.com

Categories

• clinical Care
• diagnostic Support
• pathology
• oncology Care
• imaging Software
• Clinical
• Diagnostic
• Oncology
• Medical Imaging

Summary

Aiforia's Lymph Node Metastasis AI is an AI-powered solution that detects and quantifies metastases in lymph nodes from whole slide images, enhancing pathologist efficiency and diagnostic accuracy.

Description

Aiforia's Lymph Node Metastasis AI model assists pathologists in detecting and quantifying metastases of breast cancer, melanoma, and colorectal cancer in lymph nodes from whole slide images. Developed in collaboration with the University of Bern, this CE-IVD marked solution is designed to improve workflow efficiency by up to 40%, allowing pathologists to process more cases daily without additional staffing. It provides tools for rapid navigation to relevant regions within slides, enhancing diagnostic consistency and reducing interobserver variability. The model is CE-IVD marked for diagnostic use in EU and EEA countries and for Research Use Only (RUO) and Performance Studies Only (PSO) in other market areas. It is part of Aiforia's Clinical Suite, which integrates AI-driven image analysis, standardized scoring, and automated reporting to support pathologists in their diagnostic workflows. Aiforia is headquartered in Helsinki, Finland, with offices in the United States and France, and maintains a network of local representatives across Europe and North America.

Api Available

yes

Certifications

• CE-IVD

Company Founding

2013

Company Offices

• Finland
• United States
• France

Compliance

• ISO 27001
• SOC 2 Type II
• GDPR
• HIPAA

Customers

• University of Bern

Data Residency

EU-only

Data Standards

• DICOM
• HL7
• FHIR

Deployment Model

• SaaS

Features

• Detection and quantification of metastases in lymph nodes from whole slide images
• Supports breast cancer, melanoma, and colorectal cancer detection
• Developed in collaboration with the University of Bern
• CE-IVD marked for clinical use
• Enhances workflow efficiency, saving up to 40% of pathologist’s time
• Integrated into existing pathology workflows
• Cloud-based platform for scalable deployment
• Secure image storage and data management
• Remote access for flexible collaboration
• Open API for integration with other applications
• Regular updates and feature enhancements
• Compliant with ISO 27001 and SOC 2 Type II security standards
• Adheres to GDPR and HIPAA policies
• Audit log functionality for data access tracking
• Supports all major scanner and image file formats
• Provides AI-driven image analysis tools
• Offers standardized scoring and automated reporting
• Ensures objective, quantitative, and explainable results
• Proven in clinical settings worldwide
• Flexible deployment options to meet various needs

Id

SW2585

Integration Partners

• University of Bern

Integrations

• University of Bern
• Pathology laboratories
• Clinical settings worldwide

Languages Supported

• English
• Finnish
• French

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• AI-driven image analysis tools
• Standardized scoring and automated reporting
• Flexible deployment options

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• GDPR compliance
• HIPAA compliance
• Audit log functionality for data access tracking

Product Code

SW2585

Product Name

Lymph Node Metastasis AI

Ratings

• "Aiforia's AI model achieved excellent correlation with visual diagnosis, saving up to 40% of pathologist’s time." - Aiforia Press Release, September 5, 2025

Regions Available

• European Union
• European Economic Area
• United States
• France
• Finland
• Other International Markets

Related Urls

Release Year

2025

Security Features

• Data encryption at rest and in transit
• Role-Based Access Control (RBAC)
• Audit logs
• Secure image storage and data management
• Remote access for flexible collaboration
• Open API for integration with other applications

Specialties

• Breast Cancer
• Melanoma
• Colorectal Cancer

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• Pathologists
• Medical Laboratories
• Healthcare Providers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• Aiforia's AI model significantly reduced the time required for lymph node screening, enhancing our workflow efficiency.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "Lymph Node Metastasis AI",
  "company_name": "Aiforia",
  "product_url": "https://www.aiforia.com/products/lymph-node-metastasis-ai",
  "company_url": "https://www.aiforia.com",
  "related_urls": [],
  "product_code": "SW2585",
  "summary": "Aiforia's Lymph Node Metastasis AI is an AI-powered solution that detects and quantifies metastases in lymph nodes from whole slide images, enhancing pathologist efficiency and diagnostic accuracy.",
  "description": "Aiforia's Lymph Node Metastasis AI model assists pathologists in detecting and quantifying metastases of breast cancer, melanoma, and colorectal cancer in lymph nodes from whole slide images. Developed in collaboration with the University of Bern, this CE-IVD marked solution is designed to improve workflow efficiency by up to 40%, allowing pathologists to process more cases daily without additional staffing. It provides tools for rapid navigation to relevant regions within slides, enhancing diagnostic consistency and reducing interobserver variability. The model is CE-IVD marked for diagnostic use in EU and EEA countries and for Research Use Only (RUO) and Performance Studies Only (PSO) in other market areas. It is part of Aiforia's Clinical Suite, which integrates AI-driven image analysis, standardized scoring, and automated reporting to support pathologists in their diagnostic workflows. Aiforia is headquartered in Helsinki, Finland, with offices in the United States and France, and maintains a network of local representatives across Europe and North America.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "pathology",
    "oncology Care",
    "imaging Software",
    "Clinical",
    "Diagnostic",
    "Pathology",
    "Oncology",
    "Medical Imaging"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Pathologists",
    "Medical Laboratories",
    "Healthcare Providers"
  ],
  "specialties": [
    "Breast Cancer",
    "Melanoma",
    "Colorectal Cancer"
  ],
  "regions_available": [
    "European Union",
    "European Economic Area",
    "United States",
    "France",
    "Finland",
    "Other International Markets"
  ],
  "languages_supported": [
    "English",
    "Finnish",
    "French"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "Finland",
    "United States",
    "France"
  ],
  "company_founding": "2013",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Detection and quantification of metastases in lymph nodes from whole slide images",
    "Supports breast cancer, melanoma, and colorectal cancer detection",
    "Developed in collaboration with the University of Bern",
    "CE-IVD marked for clinical use",
    "Enhances workflow efficiency, saving up to 40% of pathologist’s time",
    "Integrated into existing pathology workflows",
    "Cloud-based platform for scalable deployment",
    "Secure image storage and data management",
    "Remote access for flexible collaboration",
    "Open API for integration with other applications",
    "Regular updates and feature enhancements",
    "Compliant with ISO 27001 and SOC 2 Type II security standards",
    "Adheres to GDPR and HIPAA policies",
    "Audit log functionality for data access tracking",
    "Supports all major scanner and image file formats",
    "Provides AI-driven image analysis tools",
    "Offers standardized scoring and automated reporting",
    "Ensures objective, quantitative, and explainable results",
    "Proven in clinical settings worldwide",
    "Flexible deployment options to meet various needs"
  ],
  "optional_modules": [
    "AI-driven image analysis tools",
    "Standardized scoring and automated reporting",
    "Flexible deployment options"
  ],
  "integrations": [
    "University of Bern",
    "Pathology laboratories",
    "Clinical settings worldwide"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "ISO 27001",
    "SOC 2 Type II",
    "GDPR",
    "HIPAA"
  ],
  "certifications": [
    "CE-IVD"
  ],
  "security_features": [
    "Data encryption at rest and in transit",
    "Role-Based Access Control (RBAC)",
    "Audit logs",
    "Secure image storage and data management",
    "Remote access for flexible collaboration",
    "Open API for integration with other applications"
  ],
  "privacy_features": [
    "GDPR compliance",
    "HIPAA compliance",
    "Audit log functionality for data access tracking"
  ],
  "data_residency": "EU-only",
  "customers": [
    "University of Bern"
  ],
  "user_reviews": [
    "Aiforia's AI model significantly reduced the time required for lymph node screening, enhancing our workflow efficiency."
  ],
  "ratings": [
    "\"Aiforia's AI model achieved excellent correlation with visual diagnosis, saving up to 40% of pathologist’s time.\" - Aiforia Press Release, September 5, 2025"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2025",
  "integration_partners": [
    "University of Bern"
  ],
  "id": "SW2585",
  "slug": "lymph-node-metastasis-ai",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/lymph-node-metastasis-ai.json"
  }
}