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Healthcare data are inherently multimodal. Almost all data generated and acquired during a patient's life can be hypothesized to contain information relevant to providing optimal personalized healthcare. Data sources such as ECGs, doctor's notes, histopathological and radiological images all contribute to inform a physician's treatment decision. However, most machine learning methods in healthcare focus on singlemodality data. This becomes particularly apparent within the field of radiology,doi:10.5167/uzh-219067 fatcat:iy5sdnk7bnad3dprmpstrtz5iu