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You will find out about tools and fundamental approaches for developing advanced predictive models on biomedical signals. In this workshop, you will learn how to develop AI applications using MATLAB on the vast data generated during the delivery of health care every day. Medical device manufacturers are using these technologies to innovate their products to better assist health care providers and improve patient care. AI has also been developed for patient monitoring and care, drug development and disease prevention. Kathi Kugler, The MathWorks Clara Horvath, Iris Feldhammer, Andreas Körner, TU WienĪrtificial Intelligence’s (AI) primary aim in a health-related environment is to provide clinical decision and diagnostic support by analyzing relationships between treatment options and patient outcomes. Highlights include Creating Interactive Scripts and App, Moving to the Cloud, Sharing Content with course collaborators and students, Helping Students learn MATLAB, create and automatically grade MATLAB coding assignments with MATLAB Grader – incl. Tutorial detailsĬreate engaging, scalable instructions with MathWorks online learning tools. Recorded tutorials and tutorial handouts are available to registered participants also after the tutorial for at least a month. Tutorials will be (partly) recorded in order to allow participation at parallel tutorials. However, a separate registration (independent from conference registration) is necessary. Reinforcement Learning with Applications (B2)Īll tutorials are open to MATHMOD 2022 participants, ASIM 2022 participants, and TU Wien members.Agent-based Modelling for Health Science (B1).Modelica Thermofluid Stream Library (B1).MATLAB DEVS – Discrete Event Simulation (B1).MATLAB Biomedical Signals – AI Hands-On Workshop (B2).
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The tutorials are assigned to one of two time slots (B1 13:30-15:30 and B2 16:00-18:00). In the afternoon of July 26, 2022, a number of tutorials will be jointly organized by MATHMOD 2022 and ASIM 2022.