AIRAscore structure

JSON twin: https://www.healthaidb.com/software/airascore-structure.json

Company Name

AIRAmed

Product URL

https://www.airamed.com/airascore-structure

Company URL

https://www.airamed.com

Categories

• imaging Software
• healthcare Software Solutions
• ai Clinical Documentation Integrity
• clinical Decision Support
• radiology
• neurology
• medical Device
• healthcare It
• diagnostic Support
• Clinical Imaging
• Diagnostic Imaging
• Neuroimaging
• Medical Software
• Artificial Intelligence
• Medical Devices
• Medical Diagnostics

Summary

AIRAscore structure is an AI-driven MRI analysis tool that quantifies brain volumes to aid in early detection and monitoring of neurodegenerative diseases.

Description

AIRAscore structure utilizes deep learning to automatically segment and measure brain tissues from standard MRI scans, providing quantitative data for early detection and monitoring of conditions like Alzheimer's, multiple sclerosis, and Parkinson's disease. It integrates with PACS systems, offering rapid processing and intuitive reports for clinicians.

Api Available

unknown

Certifications

• FDA 510(k) K223180
• CE (medical device - marketed in Europe)

Company Founding

2019

Company Offices

• Germany

Compliance

• HIPAA
• GDPR
• ISO 27001
• SOC 2 Type II
• PCI DSS
• FERPA
• COPPA

Customers

Data Residency

Hosted in Germany (German-only hosting option)

Data Standards

• DICOM

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated brain segmentation (gray matter, white matter, CSF, T1 hypointensities)
• Quantitative brain volumetry (global and regional)
• Comparison with age-/gender-matched healthy reference population
• Hippocampal volume measurement and atrophy assessment
• Co-registered segmentation overlays for visual validation
• PDF evaluation report returned to PACS
• Traffic-light / easy-interpretation indicators
• Processing within minutes (rapid turnaround)
• Pseudonymization of DICOM headers before transmission
• Support for Siemens/Philips/GE MR datasets (1.5T/3T, T1)

Id

SW0653

Integration Partners

Integrations

• PACS (via local PACS-node client)
• DICOM MR Image IOD ingestion
• Siemens MRI
• Philips MRI
• GE MRI
• Radiology reporting workflow (PDF into PACS)

Languages Supported

• German
• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Lesion characterization and quantification
• White matter hyperintensity (WMH) detection and quantification

Os Platforms

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

Pricing Details

Based on number of analyses; contact vendor for specific pricing.

Pricing Model

pay-per-use

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0653

Product Name

AIRAscore structure

Ratings

Regions Available

• Germany
• European Union
• United States

Related Urls

• https://healthairegister.com/radiology/products/airamed-airascore-structure

Release Year

Security Features

• Encrypted transmission (TLS)
• Pseudonymization of DICOM headers prior to transfer
• Server-hosted processing in Germany

Specialties

• Neurology
• Neuroradiology
• Dementia Care
• Alzheimer's Disease
• Multiple Sclerosis
• Parkinson's Disease
• Psychiatry

Support Channels

System Requirements

Local PACS-node client; accepts T1 DICOM MR (1.5T/3T) with voxel size ≤2.4 mm³; encrypted network connection to AIRAmed servers

Target Users

• radiologists
• neurologists
• neuroradiologists
• clinicians
• radiology IT admins
• researchers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "AIRAscore structure",
  "company_name": "AIRAmed",
  "product_url": "https://www.airamed.com/airascore-structure",
  "company_url": "https://www.airamed.com",
  "related_urls": [
    "https://healthairegister.com/radiology/products/airamed-airascore-structure"
  ],
  "product_code": "SW0653",
  "summary": "AIRAscore structure is an AI-driven MRI analysis tool that quantifies brain volumes to aid in early detection and monitoring of neurodegenerative diseases.",
  "description": "AIRAscore structure utilizes deep learning to automatically segment and measure brain tissues from standard MRI scans, providing quantitative data for early detection and monitoring of conditions like Alzheimer's, multiple sclerosis, and Parkinson's disease. It integrates with PACS systems, offering rapid processing and intuitive reports for clinicians.",
  "categories": [
    "imaging Software",
    "healthcare Software Solutions",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "radiology",
    "neurology",
    "medical Device",
    "healthcare It",
    "diagnostic Support",
    "Clinical Imaging",
    "Diagnostic Imaging",
    "Neuroimaging",
    "Medical Software",
    "Artificial Intelligence",
    "Radiology",
    "Neurology",
    "Medical Devices",
    "Healthcare It",
    "Medical Diagnostics"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "neurologists",
    "neuroradiologists",
    "clinicians",
    "radiology IT admins",
    "researchers"
  ],
  "specialties": [
    "Neurology",
    "Neuroradiology",
    "Dementia Care",
    "Alzheimer's Disease",
    "Multiple Sclerosis",
    "Parkinson's Disease",
    "Psychiatry"
  ],
  "regions_available": [
    "Germany",
    "European Union",
    "United States"
  ],
  "languages_supported": [
    "German",
    "English"
  ],
  "pricing_model": "pay-per-use",
  "pricing_details": "Based on number of analyses; contact vendor for specific pricing.",
  "license": "commercial",
  "company_offices": [
    "Germany"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Automated brain segmentation (gray matter, white matter, CSF, T1 hypointensities)",
    "Quantitative brain volumetry (global and regional)",
    "Comparison with age-/gender-matched healthy reference population",
    "Hippocampal volume measurement and atrophy assessment",
    "Co-registered segmentation overlays for visual validation",
    "PDF evaluation report returned to PACS",
    "Traffic-light / easy-interpretation indicators",
    "Processing within minutes (rapid turnaround)",
    "Pseudonymization of DICOM headers before transmission",
    "Support for Siemens/Philips/GE MR datasets (1.5T/3T, T1)"
  ],
  "optional_modules": [
    "Lesion characterization and quantification",
    "White matter hyperintensity (WMH) detection and quantification"
  ],
  "integrations": [
    "PACS (via local PACS-node client)",
    "DICOM MR Image IOD ingestion",
    "Siemens MRI",
    "Philips MRI",
    "GE MRI",
    "Radiology reporting workflow (PDF into PACS)"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "Local PACS-node client; accepts T1 DICOM MR (1.5T/3T) with voxel size ≤2.4 mm³; encrypted network connection to AIRAmed servers",
  "compliance": [
    "HIPAA",
    "GDPR",
    "ISO 27001",
    "SOC 2 Type II",
    "PCI DSS",
    "FERPA",
    "COPPA"
  ],
  "certifications": [
    "FDA 510(k) K223180",
    "CE (medical device - marketed in Europe)"
  ],
  "security_features": [
    "Encrypted transmission (TLS)",
    "Pseudonymization of DICOM headers prior to transfer",
    "Server-hosted processing in Germany"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "Hosted in Germany (German-only hosting option)",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0653",
  "slug": "airascore-structure",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/airascore-structure.json"
  }
}