Mia supports radiologists in making the recall decision in breast cancer screening. Available to use in various configurations such as an independent second reader, a concurrent reader or in double reader triage. It also offers an AI-enabled breast positioning and image quality assurance tool: Mia IQ.
Product specifications Information source: Vendor
Last updated: June 20, 2023
Product name Mia
Company Kheiron Medical Technologies
Subspeciality Breast
Modality Mammography
Disease targeted Breast cancer
Key-features Independent second read, recall suggestion, suspicious region marking, image indications
Suggested use Before: stratifying reading process (non, single, double read)
During: perception aid (prompting all abnormalities/results/heatmaps)
After: diagnosis verification
Data characteristics
Population Mammography screening population
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
Certified, Class IIa , MDD
No or not yet
Market presence
On market since 10-2018
Distribution channels Various
Countries present (clinical, non-research use) 10+
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model
Based on
Peer reviewed papers on performance
Non-peer reviewed papers on performance

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

Other relevant papers

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