Author: Julie Sufana
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What can we do with AI for 3D medical images? FAZ interviewed CEO Markus Holzer for this piece on the promise of AI in radiology to fight lung disease and beyond.
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We’re a proud first-year sponsor of the Conference on Machine Intelligence in Medical Imaging (C-MIMI) brought to you by the Society for Imaging (SiiM) Informatics in Medicine. Won’t you join us?
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Which are the top companies operating in various healthcare branches? Hint: we are:) Check us out on pages 172, 177 and 270.
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Curious about AI in Radiology but don’t know where to start? Watch Chief Scientist and Co-Founder Georg Langs cover the basics on ESR Connect:
AI in Radiology: What You Need to Know
Deep Learning in Imaging and Cancer Care (part of the session AI & the Future of Imaging: European Funding Prospects)
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ECR holds a special place in our hearts. It’s a time to welcome friends and partners to our home city, exchange updates and learn new trends. Of course, this year was a bit different. Or rather, very different. And it should be.
True, we will not be able to provide those delicious Viennese Mannerschnitten quite as easily, but we can provide you something even better: improved workflows. Here’s what’s new in 2020:
AUTO mode cuts to the chase, identifying the most dominant disease patterns in your case as soon as it is opened
COVID-19 features including triaging and percentage of lung volume affected by COVID-19-related patterns
PDF report generation for suspected COVID-19 patients