Key Features

  • Image indications
  • Independent second read
  • Recall suggestion
  • Suspicious region marking

General Information

Product name

Mia

Subspeciality

Breast

Modality

Mammography

Disease targeted

Breast cancer

Main task

Not specified

Technical Specifications

Population

Mammography screening population

Patient population age

Not specified

Input

2D Full-Field Digital Mammography

Input format

DICOM

Output

Recall or no recall suggestion, image indications, auxiliary regions of interest

Output format

DICOM Mammography Structured Report or Presentation State

Integration

Integration in standard reading environment (PACS)

Deployment

Cloud-based, Hybrid solution

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

10 - 60 seconds

Regulatory Information

CE Certification

Pathway:

MDD

Class:

Class IIa

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

10-2018

AI Platforms

Not specified

Resellers

Not specified

Countries present

10+

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Not specified

Based on

Not specified

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Cost-effectiveness requirements for implementing artificial intelligence technology in the Women’s UK Breast Cancer Screening service

Technical Papers

Technical

View

Large-scale evaluation of an AI system as an independent reader for double reading in breast cancer screening

Other Articles

Other

View

Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study

Source: vendor | First published: Jun 9, 2024 | Last updated: Jul 10, 2025