Using AI-Supported Medicine Securely / 2026
ANONY-MED 2 Develops GDPR-Compliant Anonymization of Health Data
ANONY-MED 2 is working to make health data securely usable for AI-based diagnoses. The project, funded by the Federal Ministry of Research, Technology and Space BMFTR, implements two key approaches: first, the anonymization of datasets through privacy-preserving data synthesis; and second, the anonymization of AI model parameters through privacy-preserving model training. The goal is to develop an open toolkit and a practical handbook to help hospitals get started with modern anonymization technologies. Using the specific case of stroke therapy as a model, demonstrators are being developed using modern security concepts and architectures. Under the consortium leadership of the Fraunhofer Institute for Applied and Integrated Security AISEC, partners include Charité – Universitätsmedizin Berlin and the software company Smart Reporting GmbH.
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Fraunhofer Institute for Applied and Integrated Security