AI-Cafe presents: ExaMode: a practical approach towards using machine learning in histopathology

The ExaMode project is funded by the European Commission to work on scalable solutions for AI in histopathology. The project thus follows a practical approach defining use cases, collecting multimodal data from hospitals and and then developing decision support tools. Aspects such as learning from limited data and multimodal learning will be addressed as well as working on aspects of explainability when building systems that are integrated into the clinical workflow.