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ProductsCarebot AI MMG

Vendor source

Reviewed 12 Aug 2026

Completeness Strong (75%)

Carebot AI MMG

Carebot

Carebot AI MMG is a deep learning-based decision support software that assists radiologists in interpreting standard 2D digital mammography screening examinations in women aged ≥18 years. It highlights suspected breast lesions or architectural distortion, assigns lesion/study risk scores, assesses breast density, performs quality assessment, and generates text and graphical DICOM outputs. The software is designed to be used with PACS and DICOM-compatible viewers

Supported by 1 paper

Carebot AI MMG
Carebot AI MMG
Carebot AI MMG
Carebot AI MMG thumbnail 1
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Key Features

  • BI-RADS A-D breast density classification
  • Breast lesion detection
  • DICOM structured report
  • Graphical DICOM overlays
  • Image-quality defect flags
  • Lesion localisation
  • Lesion risk scoring
  • PGMI mammography quality assurance
  • Worklist prioritisation

General Information

Product name

Carebot AI MMG

Company

Modality

Mammography

Main task

Detection

Subspeciality

Breast

Disease targeted

Breast cancer, breast lesions suspicious for malignancy

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

Technical Specifications

Patient population age

Adult

Input

2D full-field digital mammography

Input format

DICOM

Output

Image annotations, lesion localisation, risk score, breast density category, PGMI quality assessment, text summary, structured report, graphical output, presentation state, worklist risk category

Output format

DICOM, DICOM GSPS, DICOM SC, DICOM SR

Integration

Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform

Deployment

Cloud-based, Locally on dedicated hardware, 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

Women aged ≥18 years undergoing standard 2D digital mammography

Market Presence

On market since

03-2026

AI Platforms

Resellers

Not specified

Countries present

10

Paying clinical customers

30+

Research/test users

Not specified

Pricing Information

Pricing model

One-time license fee, Pay-per-use, Subscription

Based on

Number of analyses, Number of installations, Number of users

Source: Vendor | First published: Aug 12, 2026 | Last updated: Aug 12, 2026