PRESENTED BY
Julie Sufana
NOMINATED BY
Technische Universität Wien
Facing increasing workloads, radiologists must choose between longer working hours or decreased time 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 3D image-based search engine uses deep learning to put the knowledge encoded in millions of medical images and reports at radiologists’ fingertips, saving time and money. Simply mark a region of interest in an image, and we instantly return reference cases and associated knowledge necessary for differential diagnosis. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. Case-relevant information is only a few clicks away! Additionally, our software can help prioritize time-critical patients.