Entity
Description
  • Value proposition

    Comprehensive computer-aided detection software for lung cancer, ILD & COPD

    contextflow is your comprehensive solution for all things chest CT: lung cancer, ILD and COPD. Our computer-aided detection system ADVANCE Chest CT offers lung nodule detection & tracking of changes over time, quantitative and qualitative analysis of 8 key image patterns, and 3D image search for 19 image patterns. By integrating new technology from partner RevealDx, nodules can be further characterized, detecting lung cancer earlier and reducing costs (JACR 9/22). contextflow ADVANCE Chest CT includes a TIMELINE feature that even quantifies and visualizes nodules over time, allowing physicians to follow treatment progress easily and efficiently. Fully integrated into the radiologist's workflow, our preliminary research shows average reading time is 31% shorter when contextflow SEARCH is available for use (European Radiology July 2022). Coming soon in 2023: incidental pulmonary embolism.

    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




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    AI, Machine Learning, Deep Learning, Med Tech, Radiology, artificial intelligence, big data, analytics, computer vision, health tech, healthcare, radiologist, neural networks, data analytics, programming, coding, algorithms, software development, startups, and venture capital

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