YOUR AI TOOL FOR THE AUTOMATED ANALYSIS OF KNEE MRIs
- Automatic classification of cartilage injuries according to ICRS
- Visual and quantitative report in under 5 minutes
- Smooth workflow thanks to PACS integration
- Automatic classification of cartilage injuries according to ICRS
- Visual and quantitative report in under 5 minutes
- Smooth workflow thanks to PACS integration
FOCUS ON THE IMPORTANT FINDINGS
Our latest tool takes over the repetitive tasks of knee assessment for you. Through the automatic classification of knee cartilage damage according to ICRS criteria with anatomical assignment (femur, tibia, patella), mdknee helps you focus on what really matters.
Through the evaluation of sagittal PDw sequences with fat suppression, automated allocation is carried out. All results are directly integrated into the PACS, and the corresponding reports are generated in less than 5 minutes. Cartilage damage is just the beginning; we are working on providing a comprehensive AI solution for knee assessment.
OUR REPORT CREATES CONSISTENCY
Color highlighting of cartilage injuries based on ICRS with tabular presentation of all relevant results
Automatic segmentation of the knee joint based on anatomical areas
Easy-to-understand communication tool for discussions with patients and referring physicians
TRY OUR AI FOR KNEE ASSESSMENT
Schedule a direct consultation with our expert and radiology specialist, Marco Le Donne.
We would be happy to show you the planned developments for mdknee and how you can support us in developing new features.
OUR MD-SUITE HAS MUCH MORE TO OFFER. EXPLORE OUR OTHER PRODUCTS.
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