Vendor source

Reviewed 27 Sept 2026

Completeness Strong (72%)

b-box plus

b-rayZ

Stand-alone AI system for assessment of mammographic breast density, real-time evaluation of image quality, lesion detection and mechanism for personalized suggestion of supplemental diagnostics.

Supported by 8 papers

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Key Features

  • Breast density classification (ACR BI-RADS)
  • Lesion and microcalcification detection
  • Population summary dashboard
  • Real time image quality assessment

General Information

Product name

b-box plus

Company

Modality

Mammography

Main task

Not specified

Subspeciality

Breast

Disease targeted

Breast cancer

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Technical Specifications

Patient population age

Not specified

Input

2D Full-Field Digital Mammography, 3D Digital Breast Tomosynthesis

Input format

DICOM

Output

ACR density class, diagnostic quality classification, BI-RADS compliant classification, region findings

Output format

DICOM SC, DICOM SR

Integration

Integration in standard reading environment (PACS), Stand-alone third party application

Deployment

Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

10 - 60 seconds

Population

Asymptomatic women

Market Presence

On market since

05-2020

AI Platforms

Blackford Analysis, HCKonnect, Philips Healthcare, Sectra

Resellers

RMS Medical Devices

Countries present

7

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jan 23, 2024 | Last updated: Sep 27, 2026