06.03.2024
©greenbutterfly - stock.adobe.com
Daniel Rückert on How Datasecurity in AI in Medicine Can Be Realized
TUM Magazine “Faszination Forschung”
The current issue of the TUM magazine "Faszination Forschung" takes a closer look at the work of our Director Daniel Rückert.
With his team, he strives to train medical AI in a way that ensures both patient data privacy and the impartiality of the AI in diagnosis. To achieve this, he employs "Differential Privacy", a method that adds a kind of statistical noise to the data.
«The requirements for AI systems are high. They should handle patients' personal data carefully and not store any identifiable information.»
Daniel Rückert
MCML Director
Related
10.03.2026
Reinhard Heckel Featured in FAZ
MCML PI Reinhard Heckel, featured in FAZ, explains how better data boosts AI performance and reduces bias.
05.03.2026
Foundations of Diffusion: One Map for Images and Text
Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.
