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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

Subspeciality

Breast

Modality

Mammography

Disease targeted

Breast cancer

Main task

Not specified

Technical Specifications

Population

Asymptomatic women

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, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

05-2020

AI Platforms

Blackford Analysis, 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

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks

Peer-Reviewed

View

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

Peer-Reviewed

View

BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

Peer-Reviewed

View

Classification of Mammographic Breast Microcalcifications Using a Deep Convolutional Neural Network

Peer-Reviewed

View

Determination of mammographic breast density using a deep convolutional neural network

Source: vendor | First published: Jan 23, 2024 | Last updated: Jul 9, 2025