OrthoPred Ltd is working on MSK radiology reporting automation based on deep learning technology.
Deep learning, and particularly convolutional neural networks have revolutionalized the field of image processing. These new tools can be adapted to medical imaging to aid clinicans in fast, accurate and objective diagnosis.
Our deep learning algorithms automatically annotate knee MRI scans.
ACL and meniscal tears are detected and localized.
Our DeepKnee annotator platform can be directly integrated into existing PACS workflow: clinical validation study is just starting at Semmelweis University and Buda Health Center.
Our interdisciplinary team shares unique knowledge of healthcare, computer science, higher mathematics and engineering. With our diverse background we can tackle the challenges of applying deep learning for medical imaging.
Orthopedic Surgeon, traumatologist specialized in sport injuries of children and adolescent
Project coordinator, setting up and following workflows that improve the functioning of the administration