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

Learn more

#research #rueckert

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