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LeRntVAD - Interpretable Generative Machine Learning for Intelligent Control of Ventricular Assist Devices

Johannes Kummert, Robert Feldhans, Alexander Schulz, Barbara Hammer

Duration: 2021 - 2024

Funding: German Federal Ministry of Education and Research (BMBF) within the funding initiative "Erzeugung von synthetischen Daten für Künstliche Intelligenz"

The central scientific question of the LeRntVAD project addresses the intuitive access to generative machine learning (ML) models. For this purpose, a synthetic simulation model will be created for the cardiovascular system. This model will then be used in the application to design an artificial intelligence (AI)-based controller for left ventricular assist devices (VADs). An AI controller extends the range of existing classical controllers by eliminating the need for invasive measurement data. In this project, we are collaborating with the Institute of Control Engineering at RWTH Aachen University and the University Hospital Aachen.