06.03.2024
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Our Director 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)
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