b-box plus

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

Company Name

b-rayZ

Product URL

https://b-rayz.com/

Company URL

https://b-rayz.com/

Categories

• clinical Care
• diagnostic Support
• radiology
• imaging Software
• ai Clinical Documentation Integrity
• healthcare Software Solutions
• oncology Care
• healthcare Technology
• Clinical
• Diagnostic
• Imaging
• Ai-powered
• Medical Software
• Breast Cancer
• Mammography
• Medical Imaging

Summary

b-box plus is an AI-driven software by b-rayZ that enhances mammography by automating breast density classification, lesion detection, and image quality assessment, aiming to improve breast cancer diagnostics.

Description

b-box plus is a stand-alone AI software developed by b-rayZ, designed to assist in mammography by providing automated breast density classification (ACR BI-RADS), lesion and microcalcification detection, real-time image quality assessment, and a population summary dashboard to suggest supplemental diagnostics. It supports 2D Full-Field Digital Mammography and 3D Digital Breast Tomosynthesis inputs, delivering outputs in DICOM SC and DICOM SR formats. The software is CE certified as a Class IIa medical device and is intended to aid radiologists in determining breast density and identifying pathological abnormalities, with processing times ranging from 10 to 60 seconds. Deployment options include local virtualization (virtual machine, Docker) and integration into standard reading environments (PACS).

Api Available

unknown

Certifications

• CE marking (for specified modules)
• FDA clearance (for specified modules)
• ISO 27001 (Blackford)
• ISO 13485 (Blackford)
• ISO 9001 (Blackford)

Company Founding

2019

Company Offices

• Switzerland
• Germany
• France
• Italy
• Spain
• Poland
• United Kingdom
• United States
• Canada
• Australia

Compliance

• CE (modules marked CE)
• FDA (specific modules marked FDA cleared)
• ISO 27001
• ISO 13485
• ISO 9001

Customers

Data Residency

Data Standards

• DICOM
• ACR BI-RADS

Deployment Model

• on_premise
• cloud
• hybrid

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

Id

SW0660

Integration Partners

Integrations

• Blackford Platform
• PACS (imaging systems)
• RIS/workflow systems (via Blackford simplified interoperability)

Languages Supported

• English
• German
• French
• Italian
• Spanish
• Polish

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

• b-density
• b-quality
• b-diagnostics
• b-smart dashboard

Os Platforms

• Web

Pricing Details

Pricing based on number of analyses; contact vendor for details.

Pricing Model

subscription

Privacy Features

• BAA available
• consent management
• anonymization
• data minimization

Product Code

SW0660

Product Name

b-box plus

Ratings

Regions Available

• Europe
• Switzerland
• Germany
• France
• Italy
• Spain
• Poland

Related Urls

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

Release Year

Security Features

• data privacy and security controls (platform-level)
• performance and availability monitoring
• audit logging

Specialties

• Breast Imaging
• Radiology
• Oncology
• Medical Diagnostics
• Healthcare It
• Medical Software Development
• Ai In Healthcare
• Medical Device Manufacturing
• Healthcare Technology Integration
• Medical Imaging Software
• Breast Cancer Diagnostics
• Mammography
• Medical Imaging Analysis
• Healthcare Workflow Optimization
• Medical Image Processing
• Clinical Decision Support
• Healthcare Data Analysis
• Medical Imaging Quality Assurance
• Healthcare Ai Solutions
• Medical Imaging Innovation

Support Channels

System Requirements

Target Users

• radiologists
• medical imaging professionals
• healthcare institutions
• clinics
• hospitals
• screening programs

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "b-box plus",
  "company_name": "b-rayZ",
  "product_url": "https://b-rayz.com/",
  "company_url": "https://b-rayz.com/",
  "related_urls": [
    "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",
    "https://healthairegister.com/radiology/products/b-rayz-b-box"
  ],
  "product_code": "SW0660",
  "summary": "b-box plus is an AI-driven software by b-rayZ that enhances mammography by automating breast density classification, lesion detection, and image quality assessment, aiming to improve breast cancer diagnostics.",
  "description": "b-box plus is a stand-alone AI software developed by b-rayZ, designed to assist in mammography by providing automated breast density classification (ACR BI-RADS), lesion and microcalcification detection, real-time image quality assessment, and a population summary dashboard to suggest supplemental diagnostics. It supports 2D Full-Field Digital Mammography and 3D Digital Breast Tomosynthesis inputs, delivering outputs in DICOM SC and DICOM SR formats. The software is CE certified as a Class IIa medical device and is intended to aid radiologists in determining breast density and identifying pathological abnormalities, with processing times ranging from 10 to 60 seconds. Deployment options include local virtualization (virtual machine, Docker) and integration into standard reading environments (PACS).",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "radiology",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "healthcare Software Solutions",
    "oncology Care",
    "healthcare Technology",
    "Clinical",
    "Diagnostic",
    "Radiology",
    "Imaging",
    "Ai-powered",
    "Medical Software",
    "Breast Cancer",
    "Mammography",
    "Medical Imaging",
    "Healthcare Technology"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "medical imaging professionals",
    "healthcare institutions",
    "clinics",
    "hospitals",
    "screening programs"
  ],
  "specialties": [
    "Breast Imaging",
    "Radiology",
    "Oncology",
    "Medical Diagnostics",
    "Healthcare It",
    "Medical Software Development",
    "Ai In Healthcare",
    "Medical Device Manufacturing",
    "Healthcare Technology Integration",
    "Medical Imaging Software",
    "Breast Cancer Diagnostics",
    "Mammography",
    "Medical Imaging Analysis",
    "Healthcare Workflow Optimization",
    "Medical Image Processing",
    "Clinical Decision Support",
    "Healthcare Data Analysis",
    "Medical Imaging Quality Assurance",
    "Healthcare Ai Solutions",
    "Medical Imaging Innovation"
  ],
  "regions_available": [
    "Europe",
    "Switzerland",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Poland"
  ],
  "languages_supported": [
    "English",
    "German",
    "French",
    "Italian",
    "Spanish",
    "Polish"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Pricing based on number of analyses; contact vendor for details.",
  "license": "commercial",
  "company_offices": [
    "Switzerland",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Poland",
    "United Kingdom",
    "United States",
    "Canada",
    "Australia"
  ],
  "company_founding": "2019",
  "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": [
    "BAA available",
    "consent management",
    "anonymization",
    "data minimization"
  ],
  "data_residency": "",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0660",
  "slug": "b-box-plus",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/b-box-plus.json"
  }
}