Deep learning is an algorithmic technique that is revolutionizing what is possible in areas such as finance, communication, automotive, natural language processing, computer vision and more. It allows computers to analyze vast amounts of data and automatically detect patterns and features, or make predictions regarding certain conditions.
To realize our vision of teaching computers to read medical images, we are combining our vast imaging database with deep learning techniques to build algorithms that will automatically detect and diagnose medical conditions – helping hundreds of millions of people receive fast, accurate imaging diagnosis.
Data driven care
Zebra has accumulated one of the largest anonymized databases of medical imaging and clinical data available. The foundation of machine learning and deep learning is large quantities of high quality data, and we work with millions of imaging and correlated clinical and outcomes records to create high-performance algorithms faster, for numerous findings in parallel. Over the next few years we expect to release dozens of automated findings and insights to help improve patient care, at lower costs.