Our solutions are available as an API, and are currently validated by Iconomix Ltd., one of the largest Central European teleradiology provider.
Our deep learning algorithm can detect meniscal tears in 2D and 3D knee MRI scans.
Our deep learning algorithm is able to classify the severity of knee and hip osteoarthritis according to Kellgren-Lawrence grade based on knee X-ray images.
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 radiologists in 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
Iconomix Ltd. Our current validation partner is one of the largest teleradiology provider in central Europe. For testing and validation purposes, we seek collaboration with medical institutes, who are interested in our deep learning solutions. Contact us at: firstname.lastname@example.org