Medical Image Search Powered by Deep Learning

Facing increasing workloads, radiologists must choose between longer working hours or decreased time spent evaluating images. About 20% of cases require additional research from many sources, requiring up to 20 minutes each with a questionable rate of success.

contextflow’s image search engine uses deep learning to put the knowledge encoded in millions of medical images and reports at radiologists' fingertips, saving them time and money. Simply mark a region of interest in an image, and our search engine instantly returns reference cases and associated knowledge. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. Case relevant information is now only a few clicks away! In addition, our software can be configured to allow for prioritization of cases where patterns of interest are detected.

contextflow’s patent-pending 3D image-based information search solution is currently being validated on Lung CT scans and can be extended to additional pathologies and organs. We enable clinics to share information across institutional borders and benefit from a collaborative growing knowledge base, generating clinical value from existing data.

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http://www.contextflow.com