YOUR AI TOOL FOR THE AUTOMATED ANALYSIS OF KNEE MRIs

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FOCUS ON WHAT MATTERS MOST

Repetitive classifications and measurements no longer need to slow you down. With mdknee, knee cartilage lesions are automatically classified by ICRS criteria and anatomically assigned to femur, tibia, or patella. This lets you focus on clinically relevant findings.

Using PDw sequences with fat suppression, results are integrated directly into your PACS. Within only a few minutes*, ICRS-based reports are available and ready to use in your workflow.

*Depending on installation configuration

BE AN EARLY ADOPTER

Cartilage analysis is only the first step. The further versions of mdknee will expand a comprehensive AI solution for knee assessment, including automatic detection and classification of meniscus damage as well as partial and complete ligament tears.**

If you would like to shape the future of new features with us, we look forward to your feedback and collaboration.

Schedule a direct consultation with our radiology specialist, Marco Le Donne.

** Features in development, currently not commercially available and not CE-marked.

CONSISTENT REPORTING

Cartilage lesions are color-coded according to ICRS and displayed as a DICOM overlay in the PACS.

All relevant findings in a structured format.

Segmentation by anatomical regions ensures maximum precision and facilitates communication.
Access sample report now:

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mediaire GmbH

Möckernstrasse 63
10965 Berlin, Germany

P +49 30 286 490 67
F +49 30 286 490 66

© 2022 mediaire GmbH