Publikationen

Secure Medical Digital Twins: A Use-Case Driven Approach

AutorAhmad, Salmah; Bartelt, Bianca; Enzmann, Matthias; Kohlhammer, Jörn; Wesarg, Stefan; Wolf, Ruben
Datum2025
ArtPaper
AbstraktMedical digital twins (MDTs) can support health professionals in many ways, such as in achieving a more precise diagnosis or in developing better treatment plans. For that, MDTs will need to process patients’ data from multiple sources and will have to govern access to that data by health professionals from multiple institutions, and at the same time support collaboration and data sharing between them. This raises questions regarding trust and the security of processing. We illustrate two medical use cases where MDTs can have a significant impact and discuss the security scope of our MDTs.
KonferenzInternational Workshop on Digital Twin for Healthcare 2025
ProjektATHENE - National Research Center for Applied Cyber­security
Urlhttps://publica.fraunhofer.de/handle/publica/497643