Under CopyrightLorenz, Jeanette MiriamJeanette MiriamLorenz2023-11-142023-11-142023https://publica.fraunhofer.de/handle/publica/456819https://doi.org/10.24406/publica-215510.24406/publica-2155Quantum computing is predicted as distruptive technologies with the capabilties to analyize complex patterns in data. The medical sector is a challenging field for applying artifical intelligence methods due to different reasons, but one of them being the limited amount of training data available. This talk describes how quantum computing might be able to address some of the open challenges in the sector of digital health, as in particular for the case where only limited training data is available.enquantum computingquantum machine learningQMLmedicinehealthdigital healthmedtechdiagnosticspresentation