b-box-plus

JSON twin: https://www.healthaidb.com/software/b-box-plus.json

Company Name

b-rayZ

Product URL

https://healthairegister.com/products/b-rayz-b-box

Company URL

https://b-rayz.com/

Categories

Summary

b-box plus is a stand‑alone AI software by b-rayZ for mammography that provides automated breast density classification (ACR BI-RADS), lesion and microcalcification detection, real-time image quality assessment and a population dashboard to suggest supplemental diagnostics.

Description

AI-driven mammography solution ingesting 2D FFDM and 3D DBT (DICOM) to output ACR density class, BI-RADS‑compliant findings, diagnostic quality classification and region-level detections; deployable locally (VM/Docker) or integrated into PACS with outputs as DICOM SC/SR; CE MDR Class IIa certified; processing time ~10–60s; triggers automatically or on demand.

Api Available

unknown

Certifications

Company Founding

2019

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1890

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

subscription pricing based on number of analyses; contact vendor for commercial terms and trial info

Pricing Model

subscription

Privacy Features

Ratings

Regions Available

—

Release Year

2020

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "b-rayZ",
  "company_url": "https://b-rayz.com/",
  "company_offices": [
    "Switzerland"
  ],
  "company_founding": "2019",
  "product_url": "https://healthairegister.com/products/b-rayz-b-box",
  "categories": [
    "clinical",
    "diagnostic",
    "radiology",
    "medical imaging",
    "AI"
  ],
  "market_segment": [
    "enterprise"
  ],
  "links": [
    "https://b-rayz.com/technology/",
    "https://b-rayz.com/about-us/",
    "https://b-rayz.com/contact/",
    "https://healthairegister.com/products/b-rayz-b-box",
    "https://blackfordanalysis.com/ai-portfolio-b-rayz-b-box-plus",
    "https://www.itnonline.com/content/b-rayz-secures-ce-mark-industry-first-custom-ai-technology-revolutionizing-end-end-breast",
    "https://venturelab.swiss/b-rayZ"
  ],
  "summary": "b-box plus is a stand‑alone AI software by b-rayZ for mammography that provides automated breast density classification (ACR BI-RADS), lesion and microcalcification detection, real-time image quality assessment and a population dashboard to suggest supplemental diagnostics.",
  "description": "AI-driven mammography solution ingesting 2D FFDM and 3D DBT (DICOM) to output ACR density class, BI-RADS‑compliant findings, diagnostic quality classification and region-level detections; deployable locally (VM/Docker) or integrated into PACS with outputs as DICOM SC/SR; CE MDR Class IIa certified; processing time ~10–60s; triggers automatically or on demand.",
  "target_users": [
    "radiologists",
    "breast imaging clinicians",
    "radiographers/technologists",
    "PACS administrators",
    "hospital administrators"
  ],
  "specialties": [
    "breast imaging",
    "mammography"
  ],
  "regions_available": [],
  "languages_supported": [],
  "pricing_model": "subscription",
  "pricing_details": "subscription pricing based on number of analyses; contact vendor for commercial terms and trial info",
  "license": "commercial proprietary",
  "deployment_model": [
    "on_premise",
    "cloud",
    "hybrid"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Breast density classification (ACR BI-RADS)",
    "Lesion and microcalcification detection",
    "Real-time image quality assessment (b-quality / positioning feedback)",
    "Population summary dashboard (b-smart dashboard)",
    "BI-RADS compliant reporting (DICOM SR/SC output)",
    "Automated analysis triggered at acquisition or on-demand",
    "Supports 2D full-field digital mammography and 3D DBT",
    "Local deployment (VM / Docker) and PACS integration",
    "Processing time typically 10-60 seconds",
    "Personalized suggestions for supplemental diagnostics"
  ],
  "optional_modules": [
    "b-density",
    "b-quality",
    "b-diagnostics",
    "b-smart dashboard"
  ],
  "integrations": [
    "Blackford Platform",
    "PACS (imaging systems)",
    "RIS/workflow systems (via Blackford simplified interoperability)"
  ],
  "data_standards": [
    "DICOM",
    "ACR BI-RADS"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "CE (modules marked CE)",
    "FDA (specific modules marked FDA cleared)",
    "ISO 27001",
    "ISO 13485",
    "ISO 9001"
  ],
  "certifications": [
    "CE marking (for specified modules)",
    "FDA clearance (for specified modules)",
    "ISO 27001 (Blackford)",
    "ISO 13485 (Blackford)",
    "ISO 9001 (Blackford)"
  ],
  "security_features": [
    "data privacy and security controls (platform-level)",
    "performance and availability monitoring",
    "audit logging"
  ],
  "privacy_features": [
    ""
  ],
  "data_residency": "",
  "customers": [
    "Humanitas Research Hospital",
    "University Hospital of Zurich"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "ticketing"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online"
  ],
  "release_year": "2020",
  "integration_partners": [
    "Blackford Analysis",
    "Sectra",
    "Romion Health",
    "RMS Medical Devices",
    "Blackford"
  ],
  "id": "P1890",
  "slug": "b-box-plus",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/b-box-plus.json"
  }
}