DeepKnee autonomous MRI reporting system
We have developed a software framework for autonomous medical image interpretation based on deep learning technology. Our focus is on the assessment of MRI exams of the extremities without human intervention.
Currently our easily integrable software enables the fully automatic, prompt & robust annotation of the relevant anatomic details and detection of the most frequent knee lesions: ACL & meniscal tears, articular cartilage lesions.
Recognition of medial collateral ligament tear will be available by the beginning of 2024.
We are also working on the most frequently occurring ankle lesions: cartilage problems of the talar dome & tears of the lateral ligaments
Integration
You don’t have to change your favorite dicom viewer to look at the suggestions of deepKnee. Our software can be seamlessly integrated in your PACS environment without any interruption in your workflow.
Customers, cooperating partners
Our framework is currently integrated in the systems of the following companies and institutions:
- Semmelweis University
- Semmelweis PremiumLtd.
- Pécs Diagnostic Center
- Budai Health Center
- MedicalPoint Ltd.
- CMED
- Rába Medical Center
- Újbuda Medical Center
- Wáberer’s Medical Center
