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Joerg Wesche Email
Field Application Engineer . contextflow
Vienna,
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Employees:
47Revenue:
$5.5MAbout
Radiology is facing serious challenges, so contextflow develops deep-learning based tools to help improve radiologists' daily clinical workflows. The core technology is a 3D image-based search engine called SEARCH designed to help save time and money while increasing reporting quality and confidence. Simply select a region of interest in any scan (currently we work with lung CTs), and SEARCH immediately provides reference cases based on visual disease pattern detection, statistics, and medical literature necessary for differential diagnosis. Currently when a radiologist needs additional information to make a diagnosis, they must consult reference books, text-based search engines or wait to discuss with colleagues. SEARCH allows the radiologist to obtain all that information directly from the image itself, shortening their search time from 20 min to 2 sec. TRIAGE is another tool designed to save time during clinical routine. By automatically detecting disease patterns as soon as a scan is taken, TRIAGE allows doctors to better prioritize patients based on critical need. Both tools search for disease patterns that are present in COVID-19, and SEARCH provides distribution heatmaps of these patterns, which may be helpful during image interpretation. Most importantly, both tools integrate into the radiologist's current routine, making adoption easy. contextflow is a spinoff of the Medical University of Vienna (MUW) and European research project KHRESMOI, supported by the Technical University of Vienna (TU). It was founded by a team of AI in medical imaging experts in 2016. Twitter: @contextflow_rad Pioneers '19: https://www.youtube.com/watch?v=s_P0Ea8ACuQ Philips Healthworks: https://www.youtube.com/watch?v=l-K3VufXSDA&t=28scontextflow Address
FloragasseVienna, null