29.07.2025
©TUM
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.
Related
31.07.2026
Benedikt Wiestler: We Want to Build a Time Machine
MCML PI Benedikt Wiestler explains how AI models help to develop specific strategies in clinical therapy for brain tumor patients.
28.07.2026
Gaps in the Benchmark: Why Medical AI Fails in the Real World
MCML researchers show in Nature Health how dynamic red teaming exposes hidden weaknesses in Medical AI beyond static benchmarks.
26.07.2026
Barbara Plank Becomes President of the Association for Computational Linguistics
MCML PI Barbara Plank becomes President of the Association for Computational Linguistics, the world's leading NLP organization.