Last week, the final meeting of the Automation in Medical Imaging (AMI)-project took place at the Radiology department of Radboud University Medical Center. The AMI-project was a close collaborative project between the Diagnostic Image Analysis Group and the Fraunhofer Institute for Digital Medicine MEVIS. The aim of AMI was to develop a generic platform for automatic medical image analysis. Deep learning-based algorithms have successfully been developed for the automated analysis and registration of chest CTs, ophthalmology images, and histological whole slide images. The web-based viewing system, specifically developed for, but not restricted to this project, offers support for multiple radiology, ophthalmology and pathology image formats. The AMI-project was funded by the Radboud University, Radboud University Medical Center and the Fraunhofer Gesellschaft as an ICON-project, focusing on collaborative, interdisciplinary and international research.