AI-Rad Companion

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

Company Name

Siemens Healthineers

Product URL

https://www.siemens-healthineers.com/en-us/digital-health-solutions/digital-solutions-overview/clinical-decision-support/ai-rad-companion

Company URL

https://www.siemens-healthineers.com

Categories

• clinical Care
• diagnostic Support
• imaging Software
• radiology
• clinical Decision Support
• ai Clinical Documentation Integrity
• clinical Workflow Automation
• Clinical
• Diagnostic
• Imaging
• Ai
• Workflow Augmentation

Summary

AI-Rad Companion is a suite of AI-powered, cloud-based tools designed to assist radiologists in interpreting medical images by automating routine tasks and enhancing diagnostic precision.

Description

AI-Rad Companion offers a range of AI-driven solutions that integrate seamlessly into radiology workflows, providing automatic post-processing of imaging datasets. These tools assist in tasks such as detecting and characterizing abnormalities, segmenting anatomical structures, and generating structured reports, thereby improving efficiency and accuracy in medical image interpretation.

Api Available

unknown

Certifications

• FDA 510(k) (K193283)
• CE (medical device)

Company Founding

2016

Company Offices

• United States
• Germany
• Austria
• Spain
• Switzerland
• Australia
• United Kingdom
• France
• Italy
• Japan

Compliance

• HIPAA
• GDPR

Customers

• Foch Hospital (France)

Data Residency

Supports on-premise installations; cloud deployments with regional hosting options (e.g., US/EU) or customer-hosted on-prem

Data Standards

• DICOM
• DICOM Structured Reporting (DICOM-SR)
• HL7 v2
• IHE profiles

Deployment Model

• cloud
• on_premise
• hybrid

Features

• Automated prostate segmentation (T2/ADC)
• Lesion detection and highlighting for PI-RADS assessment
• Volumetric measurements of prostate and lesions
• Automated calculation of prostate and lesion metrics
• Supports MR-targeted biopsy planning / MR/US fusion export
• Generation of structured DICOM-SR results
• Integration into radiology reading workflow (syngo.via / viewer)
• Confirmation workflow for reader review and editing
• Visualization overlays and annotation tools
• Exportable measurements for clinical/surgical use

Id

SW0059

Integration Partners

• teamplay digital health platform

Integrations

• syngo.via
• PACS (DICOM-compatible)
• Ultrasound systems for MR/US fusion (vendor connectors)
• Siemens MRI scanners and modalities
• Radiology RIS / reporting systems (via HL7/DICOM interfaces)
• Hospital EHRs (via interface; e.g., Epic/Cerner via standard interfaces)

Languages Supported

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

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• Advanced reporting/configuration packs

Os Platforms

• Windows
• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

• Business Associate Agreement (BAA) available
• Patient data anonymization/de-identification support

Product Code

SW0059

Product Name

AI-Rad Companion

Ratings

• 4.5 out of 5 stars (G2)

Regions Available

• United States
• Germany
• Austria
• Spain
• Switzerland
• Australia
• Europe
• North America
• Asia
• Africa
• South America
• Middle East
• Canada
• Mexico
• Brazil
• India
• China
• Japan
• South Korea
• Russia
• South Africa

Related Urls

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

Release Year

2020

Security Features

• Data encryption in transit (TLS)
• Role-based access control (RBAC)
• Audit logging
• SSO/SAML support

Specialties

• Radiology
• Neuroimaging
• Prostate Imaging
• Chest Imaging
• Cardiovascular Imaging
• Musculoskeletal Imaging
• Radiation Therapy Planning

Support Channels

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

System Requirements

Windows workstation (syngo.via integration) or cloud access; DICOM network connectivity; internet access for cloud deployment

Target Users

• clinicians
• radiologists
• medical imaging professionals

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• PACS is very detailed, elaborate and multiple fronts can use it simultaneously. The image quality is very high definition and the zoom-in function is very beneficial.

Version

1.0

Alternatives

See related products

Canonical JSON

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  "product_name": "AI-Rad Companion",
  "company_name": "Siemens Healthineers",
  "product_url": "https://www.siemens-healthineers.com/en-us/digital-health-solutions/digital-solutions-overview/clinical-decision-support/ai-rad-companion",
  "company_url": "https://www.siemens-healthineers.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0059",
  "summary": "AI-Rad Companion is a suite of AI-powered, cloud-based tools designed to assist radiologists in interpreting medical images by automating routine tasks and enhancing diagnostic precision.",
  "description": "AI-Rad Companion offers a range of AI-driven solutions that integrate seamlessly into radiology workflows, providing automatic post-processing of imaging datasets. These tools assist in tasks such as detecting and characterizing abnormalities, segmenting anatomical structures, and generating structured reports, thereby improving efficiency and accuracy in medical image interpretation.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "imaging Software",
    "radiology",
    "clinical Decision Support",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "imaging Software",
    "clinical Workflow Automation",
    "Clinical",
    "Diagnostic",
    "Imaging",
    "Radiology",
    "Clinical Decision Support",
    "Ai",
    "Workflow Augmentation"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "radiologists",
    "medical imaging professionals"
  ],
  "specialties": [
    "Radiology",
    "Neuroimaging",
    "Prostate Imaging",
    "Chest Imaging",
    "Cardiovascular Imaging",
    "Musculoskeletal Imaging",
    "Radiation Therapy Planning"
  ],
  "regions_available": [
    "United States",
    "Germany",
    "Austria",
    "Spain",
    "Switzerland",
    "Australia",
    "Europe",
    "North America",
    "Asia",
    "Africa",
    "South America",
    "Middle East",
    "Canada",
    "Mexico",
    "Brazil",
    "India",
    "China",
    "Japan",
    "South Korea",
    "Russia",
    "South Africa"
  ],
  "languages_supported": [
    "English",
    "German",
    "Spanish",
    "French",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu",
    "Gujarati"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "Germany",
    "Austria",
    "Spain",
    "Switzerland",
    "Australia",
    "United Kingdom",
    "France",
    "Italy",
    "Japan"
  ],
  "company_founding": "2016",
  "deployment_model": [
    "cloud",
    "on_premise",
    "hybrid"
  ],
  "os_platforms": [
    "Windows",
    "Web"
  ],
  "features": [
    "Automated prostate segmentation (T2/ADC)",
    "Lesion detection and highlighting for PI-RADS assessment",
    "Volumetric measurements of prostate and lesions",
    "Automated calculation of prostate and lesion metrics",
    "Supports MR-targeted biopsy planning / MR/US fusion export",
    "Generation of structured DICOM-SR results",
    "Integration into radiology reading workflow (syngo.via / viewer)",
    "Confirmation workflow for reader review and editing",
    "Visualization overlays and annotation tools",
    "Exportable measurements for clinical/surgical use"
  ],
  "optional_modules": [
    "Advanced reporting/configuration packs"
  ],
  "integrations": [
    "syngo.via",
    "PACS (DICOM-compatible)",
    "Ultrasound systems for MR/US fusion (vendor connectors)",
    "Siemens MRI scanners and modalities",
    "Radiology RIS / reporting systems (via HL7/DICOM interfaces)",
    "Hospital EHRs (via interface; e.g., Epic/Cerner via standard interfaces)"
  ],
  "data_standards": [
    "DICOM",
    "DICOM Structured Reporting (DICOM-SR)",
    "HL7 v2",
    "IHE profiles"
  ],
  "api_available": "unknown",
  "system_requirements": "Windows workstation (syngo.via integration) or cloud access; DICOM network connectivity; internet access for cloud deployment",
  "compliance": [
    "HIPAA",
    "GDPR"
  ],
  "certifications": [
    "FDA 510(k) (K193283)",
    "CE (medical device)"
  ],
  "security_features": [
    "Data encryption in transit (TLS)",
    "Role-based access control (RBAC)",
    "Audit logging",
    "SSO/SAML support"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) available",
    "Patient data anonymization/de-identification support"
  ],
  "data_residency": "Supports on-premise installations; cloud deployments with regional hosting options (e.g., US/EU) or customer-hosted on-prem",
  "customers": [
    "Foch Hospital (France)"
  ],
  "user_reviews": [
    "PACS is very detailed, elaborate and multiple fronts can use it simultaneously. The image quality is very high definition and the zoom-in function is very beneficial."
  ],
  "ratings": [
    "4.5 out of 5 stars (G2)"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2020",
  "integration_partners": [
    "teamplay digital health platform"
  ],
  "id": "SW0059",
  "slug": "ai-rad-companion",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ai-rad-companion.json"
  }
}