In the second edition of our White Paper Series, we discuss why user feedback should be implemented in the product development process and how to do it in a way that is most effective.
M3i will be present at the MT Connect 2018 in Nürnberg. If you participate in this year’s MT Connect as well, let us know at contact@m3i-muenchen.de, we are looking forward to meeting up!
M3i and its partners, Munich Innovation Labs and the Munich University Hospital are excited to announce the publication of their first co-authored article, “Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features” at Springer Nature (see here for a free, full length read-only version). The article discusses the findings from research project “ArthroScan”, conducted by researchers from M3i and the Munich University Hospital. In this EU-funded project, researchers sought to study the possibilities of vibroarthography, a non-invasive, non-radiative and very cost-effective technology using sound waves for early-stage detection of damage in knee joints. Munich Innovation Labs contributed its expertise in machine learning to the project, to develop a technology based on machine learning and a linear support vector machine, which proved to reach a classification specificity of approximately 0.8 at a sensitivity of 0.75. This performance is comparable to existing diagnostic tools, thus qualifying machine-learning- supported vibroarthography as an additional diagnostic tool.
M3i has officially been awarded as the winner of the German Federal Government’s Industry-in-Clinic National Initiative in 2016.
