AUTOMATED DETECTION OF POSITIVE CLINICAL FINDINGS

Zebra Medical Vision, a leader in AI medical imaging, holds an extremely large database of 30 million scans and corresponding clinical records, and is therefore able to develop high-performance algorithms using image processing and machine learning techniques to automatically detect anomalies.

Zebra identifies visual signs of different diseases, such as osteoporosis, fatty liver, emphysema and coronary artery disease, in order to create a large scope of algorithms that will be the basis of Zebra’s future product solutions.


Zebra’s Lab Algorithms were validated on thousands of scans and are mainly in use for research purposes. Achieving CE Certification on all the Lab Algorithms, as well as 510(k) FDA clearance on HealthCCS algorithm, allows Zebra to develop future product solutions globally.