New AI approach allows for clustering of multivariate longitudinal patient trajectories and detection of progression subtypes in Alzheimer's and Parkinson's Disease
An explainable AI approach allows for predicting comorbidity risks of individual epileptic patients using large scale clinical routine data. Within the Fraunhofer Center for Machine Learning we developed a demonstrator to showcase this approach.