Medical practice requires more and more interpretation of digital images. Human experts are expensive, error prone and get tired. Recent developments in image recognition, in particular through ‘deep learning’, have shown that computers can extract more information from images and are sometimes more reliable than people due to their increased accuracy. However, image recognition has mainly focused on natural images such as those on Instagram and YouTube. Adapting and further developing image recognition to the characteristics of medical images is an important challenge for the AIM Lab. For five years, seven PhD researchers will work in the lab on projects that will focus, among other things, on achieving a quicker diagnosis of Alzheimer’s disease, modelling cardiac rhythms and on generating automatic reports based on X-ray images. From a technical perspective, work will be done on fundamental and relatively general AI models and algorithms that can be applied to specific disease.