Fraunhofer Institute for Digital Medicine MEVIS

Information Graphics

We visualize complex processes in clinical routine for diagnosis and therapy support understandably.

We harness humans' strong visual cognitive abilities to represent complex medical interrelationships in an intuitive, straightforward, and accurate way. In addition to explanations of diagnoses and therapy decisions, we describe clinical workflows.

Based on our deeply rooted medical expertise, we enrich anatomical medical data with clinically relevant supplementary information and concisely illustrate clinical workflows.

Examples of Our Work

Enhanced By Fraunhofer MEVIS

Innovative Clinical Solutions - Integrating Robust and Effective Applications into the Workflow.

Annual Report 2014

Deep Learning

Algorithms autonomously find interesting spots in digital images of tissue samples (left). These neuronal networks (blue) compress the data until information and image interpretations emerge. When doctors correct the computer diagnosis, new knowledge flows in the self-learning algorithm.

Press Release "Self-Learning Software"

CaFuR - Cardiac Function in Realtime

Schematic structure of the heart with ventricles, vessels and the parameters blood flow, cardiac output, wall thickness and wall motion. The time diagram shows the blood volume in the left ventricle (left) and the blood flow in the aortic arch over several heartbeats.