Company Performance Metrics
- Julie Sufana: Chief Marketing Officer
- Allan Hanbury: Co-Founder
contextflow revolutionizes the medical information search process with the help of deep learning: our 3D image-based search engine for radiologists looks for regions of interest within images (currently 18+ patterns in lung CTs); when a suspicious pattern is detected, we immediately find visually similar cases, descriptions and relevant reference
information, affording doctors easy access to knowledge currently hidden in large medical image data and their associated reports...all within seconds. No more paging through books, guessing the right keyword or consulting various text-based reference search engines. In addition, our software can be configured to allow for prioritization of cases where patterns of interest are detected.
contextflow is a spin-off of the Medical University of Vienna (MUW), Technical University of Vienna (TU) and European research project KHRESMOI. Founded by a team of AI and engineering experts in July 2016, the company was awarded the distinction of Most Promising Startup by the BCS Search Industry, received the Digital Innovation Award by the Austrian Federal Ministry of Education, Science and Research and was selected as one of 19 startups out of over 700 applications to participate in the Philips HealthWorks accelerator program. It is currently testing its 3D image-based software with six partners, expanding internationally to other locations later this year.
