AI Research by Daniel Rückert Improves Medical Imaging and Data Privacy

TUM News

MCML Director Daniel Rückert and his team are developing AI technologies to improve diagnostic imaging and protect patient data. Their research includes federated learning approaches that allow models to learn from clinical data without sharing sensitive information, as well as privacy-enhancing techniques like added data noise.

Their methods are already being applied in MRI and CT systems, leading to shorter exam times and more accurate diagnostics. The work is a key step toward integrating trustworthy AI into daily clinical practice.

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