DMEA is considered Europe’s leading digital health exhibition. Visitors can get an insight into the research work that involves the analysis of large amounts of medical data, supports clinical processes and facilitates new data-based applications for research and care. Here is a selection of the Fraunhofer projects presented:
Data and image analysis for sound decision-making in nephrology
The Fraunhofer Institute for Computer Graphics Research IGD will show how artificial intelligence and visual analytics are applied to make use of large sets of medical data in nephrology. In the RenalViz project, interactive visualizations are used to analyze heterogeneous patient data, such as laboratory values, diagnoses and treatment procedures, in order to compare, for example, patient cohorts and identify factors that impact disease progression. In its RENALCARE project, the institute is developing AI-based methods for analyzing medical imaging data to support clinical decision-making during surgical treatment of kidney tumors. The technologies help to make complex medical data accessible and allow for new insights to facilitate more precise and personalized treatment.
Trustworthy AI models for women’s health and cardiology
The SympATA (Symptom Analysis and Tracking with AI) app from the Fraunhofer Institute for Cognitive Systems IKS features AI language models and is designed to promote daily health tracking for women. SympATA provides a straightforward way of recording and monitoring symptoms, aiming to make it easier for women to keep an eye on their own health. In addition to this, SympATA produces a clear overview of data that patients are able to understand and use in conversations with doctors.
Fraunhofer IKS is also exploring the research question of whether an ECG analysis can detect indications of disease patterns in areas other than cardiology. To this end, the institute is in the process of developing explainable AI models to enhance ECG analyses. In order to prevent any wrong conclusions, the focus of the project is on making transparent predictions.
Validated AI for clinical research and practice
The Fraunhofer Institute for Digital Medicine MEVIS will be presenting the technical back-end CuraMate AI Development for simplified agile development of image-based medical AI models. CuraMate AI Development allows for seamlessly integrated and highly adaptable data curation. The iterative correction workflow is designed to draw the attention of experts to uncertain areas to increase the level of precision of image segmentation. The effort required for annotation is reduced as a result. In addition, AI models that were pre-trained with vast amounts of data, known as foundation models, allow for models to be developed effectively, even with smaller sets of data from radiology and pathology. Performance criteria such as robustness and fairness of the developed AI models are reviewed, for example with the help of the statistics toolbox meval, to ensure that technologies are successfully transferred to clinical practice.
Sovereign data spaces for secure sharing of health data
The Fraunhofer Institute for Software and Systems Engineering ISST will be presenting its concepts for health data spaces in which different stakeholders can share health data in a secure and controlled manner. These technologies promote interoperable and federated data infrastructure, creating the basis for data-driven innovation in research and treatment. As a result, medical data can be shared at a greater level of security, be used more effectively and be made available for new digital healthcare applications in the future.
Efficient documentation thanks to AI-assisted systems
The Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS shows how doctor’s letters can be created far more quickly using an AI solution that has already proven itself in practice. This technology allows for a considerable reduction of the burden on medical staff. The secure language models, which were trained in German, help speed up documentation that is still fully reviewed by human experts.
At the same time, Fraunhofer IAIS is developing a comprehensive AI suite for clinics that goes far beyond a tool for writing doctor’s letters: The system integrates automated extraction of information, smart form completion and billing encoding support to optimize central administrative processes along the entire care chain. The institute also provides consultation services for hospitals that wish to develop and implement their own customized AI strategies as part of a sustainable digital transformation.
Fraunhofer IAIS will also be presenting agent systems that provide smart support for treatment processes, structure information flows and can open up new efficiency potential, in particular in the area of primary care.
Interested individuals are welcome to see these and other applications and exhibits in action and to talk to the researchers at the joint Fraunhofer booth (Booth D-109, Hall 2.2) of DMEA.
Further information: Fraunhofer at DMEA 2026
Fraunhofer-Gesellschaft
