OrthoPred applies artificial intelligence: our state of the art deep learning tools analyzing MSK medical images to assist medical professionals in making diagnoses as fast and accurate as possible.
Our platform can be directly integrated into existing PACS workflow: clinical validation is just starting at Semmelweis University and Buda Health Center.
Our deep learning algorithms automatically annotate knee MRI scans.
ACL and meniscal tears are detected and localized.
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 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
Medical Imaging Centre at Semmelweis University and Buda Health Center are our current validation sites. For testing and validation purposes, we seek collaboration with medical imaging centers, who are interested in the development and test of our deep learning solutions. Contact us at: email@example.com