Radiology is facing serious challenges, so contextflow develops deep-learning based tools to help improve radiologists’ daily clinical workflows. Our core technology is a clinical decision support system (contextflow SEARCH Lung CT) that detects 19 different patterns in Lung CTs + nodules. Prelminary results indicate that contextflow SEARCH Lung CT reduced average reading time by 31% when the system was available for use as well as a trend towards improved diagnostic accuracy.* It integrates directly into your PACS, providing reference cases based on visual disease pattern detection, statistics, and medical literature necessary for differential diagnosis. Results are transparent...say goodbye to black box AI. *Study results to be published soon contextflow is a spin-off of the Medical University of Vienna (MUW), Technical University of Vienna (TU) and European research project KHRESMOI. Founded by myself and 3 other AI and medical imaging experts in July 2016, we were awarded the distinction of Most Promising Startup by the BCS Search Industry and received the Digital Innovation Award by the Austrian Federal Ministry of Education, Science and Research that same year. In 2018, we were selected as one of 19 startups out of 700+ applications to participate in the Philips HealthWorks accelerator program and were named Top HealthTech Company - Austria for the 2019 Central Eastern Startup Awards. Forbes DACH listed us as one of the top AI30 startups in 2020, and the Austrian Chamber of Commerce named us a Born Global Champion in 2021. Twitter: @contextflow_rad Youtube: https://www.youtube.com/channel/UCTvdkGwlHio0vKfhvqQT_UA Sign up for our newsletter: contextflow.ac-page.com/newsletter-sign-up