Coordination
KIMed is a joint project of Leipzig University, Dresden University of Technology and Mittweida University of Applied Sciences. As equal partners, they coordinate the project activities and contribute their complementary expertise. Together, they provide qualified staff from a range of disciplines who collaborate as an interdisciplinary team across the project’s focus areas.
Leipzig University
Innovation Center for Computer Assisted Surgery (ICCAS)
Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
LIFE Management Cluster
At the Faculty of Medicine of Leipzig University, the Innovation Center for Computer Assisted Surgery (ICCAS), the Institute for Medical Informatics, Statistics and Epidemiology (IMISE) and the LIFE Management Cluster combine their expertise in Artificial Intelligence, data analysis and research management.
At ICCAS, AI-supported hardware and software systems are developed and implemented for use as medical devices in clinical practice. At IMISE, clinical and study-based routine data are systematically analysed to identify previously unknown patterns and discover new biomarkers.
The LIFE Management Cluster creates the organisational framework required for the implementation of research projects. As a central service unit, it supports researchers throughout the entire project lifecycle and contributes to the efficient delivery of complex projects in medical informatics and digital health.
Within the KIMed network, Leipzig University Medicine contributes this expertise in a targeted way and continues to develop it collaboratively. The aim is to systematically connect existing expertise in Artificial Intelligence and to strengthen exchange with academic and industry partners. Through coordinated collaboration and targeted partnerships, sustainable structures are created that accelerate innovation and enable its long-term integration into research and healthcare.
Prof. Dr. Thomas Neumuth
Technical Director (CTO), Innovation Center for Computer Assisted Surgery (ICCAS), Faculty of Medicine, Leipzig University
Prof. Dr. Toralf Kirsten
Professor of Medical Data Science, Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Faculty of Medicine, Leipzig University
Ute Bartz-Zweynert
Acting Head of the LIFE Management Cluster, Faculty of Medicine, Leipzig University
Dresden University of Technology
Centre for Medical Informatics (ZMI)
The Centre for Medical Informatics (ZMI) at the Faculty of Medicine Carl Gustav Carus, Dresden University of Technology, brings together clinical care, research and digital innovation. As a partner in national initiatives such as the Medical Informatics Initiative (MII) and the Network University Medicine (NUM), the ZMI develops interoperable data infrastructures and AI-supported, user-centred applications for patient care.
A particular focus is placed on the standardisation of medical data, the development of interoperable system architectures and user-centred solutions for healthcare. These approaches create the foundation for making clinical data usable across institutions and for integrating new data-driven methods into research and healthcare.
Against this background, the ZMI plays an active role in shaping the development of the KIMed network at Dresden University of Technology. Its motivation is to strengthen collaboration between research, clinical practice and industry in order to sustainably translate innovations into healthcare and jointly advance effective digital health solutions. Through structured exchange and targeted cooperation, the ZMI contributes to accelerating AI innovations and supporting their implementation in medical practice.
Dr. Eveline Prochaska
Head of the Research Areas Interoperability & Digital Healthcare, Centre for Medical Informatics, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology
Prof. Dr. Dr. Martin Sedlmayr
Professor of Medical Informatics, CDO, CDIO, Head of the Centre for Medical Informatics, Institute for Medical Informatics and Biometry (IMB), Faculty of Medicine Carl Gustav Carus, Dresden University of Technology
Mittweida University of Applied Sciences
Saxon Institute for Computational Intelligence and Machine Learning (SICIM)
The Saxon Institute for Computational Intelligence and Machine Learning (SICIM) at Mittweida University of Applied Sciences was founded in 2017 under the direction of Prof. Dr Thomas Villmann. Research at SICIM focuses on the development of machine learning methods, ranging from mathematical foundations to application-oriented solutions.
A particular focus lies on interpretable Artificial Intelligence, AI models under limited-resource conditions, and the reliability and robustness of AI systems. These approaches are applied in a range of fields, including bioinformatics and medicine – for example in diagnostic support and sequence analysis – as well as sensor data analysis, such as smart sensor systems and object recognition in autonomous driving, and complex technical systems including motion analysis and process control.
The aim is to develop reliable and efficient AI methods for demanding data-driven applications. Within the KIMed network, SICIM contributes its expertise particularly in the development of transparent and robust AI methods, thereby supporting a reflective and responsible use of AI in the sensitive medical context.
Prof. Dr. Thomas Villmann
AI Coordinator of Mittweida University of Applied Sciences, Member of the National Academy of AI (NAAI), Director of the Saxon Institute for Computational Intelligence and Machine Learning (SICIM), Faculty of Applied Computer Sciences and Biosciences
