AI in Medicine and Research – Secure, Networked, Practical
KIMed – the Network for Artificial Intelligence in Medicine brings together data-holding institutions, methodological and technical partners, and users from the field of medicine. Together, they aim to establish a powerful and secure research environment and to specifically promote innovations in AI. One of the network’s key projects is the design of a protected infrastructure for processing medical data in Saxony. This infrastructure will enable the use of large, interconnected datasets under strict data protection guidlines. In this way, KIMed is creating the conditions for modern AI applications to be developed in a secure structure and used in medical research and practice in the future.
Main Project Objectives
- Network Development and Governance
A sustainable network that connects and coordinates research partners, whilst establishing an effective network governance, and initiating new third-party funded projects by members - Networking to Establish a Protected Research Environment
A Secure Processing Environment (SPE) concept that enables the secure processing and analysis of sensitive medical data without the need for physical transfer - KIMed Portal for Data Access and Networking
A central portal for accessing medical data sources, generating synthetic data, and networking existing datasets - Testing of Cooperative Demonstrators in the SPE
Practical application examples, which demonstrate the benefit of the protected research environment and offer researchers and clinical partners innovative applications - Training, Further Education and Consulting
Training courses for all network partners and advising network partners on the optimal use of the network’s resources
All measures strengthen and interconnect the future fields of health and digital technologies. They help position Saxony as a major hub for research and innovation in the health care industry and medical services. The initiative is of central importance not only for the Free State of Saxony but also has national and international relevance.
KIMed is a joint project of Leipzig University, Dresden University of Technology and Mittweida University of Applied Sciences. The network aims to actively shape medical progress - for better healthcare, research, and teaching.
Do You Work with Medical Data and Develop AI Solutions?
Become part of our network and actively help shape AI innovations. Let us promote the responsible AI use in medicine and research.
Contact
Project Leadership
Dr. Matthias Nüchter
Leipzig University, Faculty of Medicine
LIFE Management Cluster
Dr. Eveline Prochaska
Center for Medical Informatics /
Institute for Medical Informatics and Biometry
Faculty of Medicine Carl Gustav Carus
at Dresden University of Technology
Project Management
Sara Volc
Leipzig University, Faculty of Medicine,
LIFE Management Cluster
Philipp-Rosenthal-Straße 27
04103 Leipzig
Email: info@kimed-netzwerk.de