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Dear Sir or Madam, Today's newsletter brings you two AI applications for diagnostics! TU Munich and Helmholtz Munich are jointly developing an imaging method that goes under the skin: Raster-Scan Optoacoustic Mesoscopy (RSOM) is designed to detect changes in microvessels in people with diabetes, and it does so non-invasively. You can read about how the method works and why it can be very useful in the interview "Diabetes: AI skin scanner detects disease progression". Meanwhile, Fraunhofer Austria Research GmbH in Vienna is working on relieving laboratories of a specific problem: how can urinary tract infections be diagnosed with less manual work? Fraunhofer's answer to this question is an AI-based decision tree. Find out what makes it special in the interview "Smart infection diagnostics: UTI detection with AI". Enjoy reading! Timo Roth
Editorial team MEDICA-tradefair.com
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