BioM Podcast with Prof. Daniel Rückert

'We need fundamental digitalisation of all processes in hospitals for the translation of AI into clinical practice.'


In Germany, Magnetic Resonance Imaging (MRI) is used for millions of patients with a knee sprain, head injury or a tumor every year. This medical imaging technique is used to generate pictures of the anatomy and the physiological processes of the body. The outcome of the MRI scan can be used to diagnose conditions and precisely assess how effective a treatment has been. Evaluating the outcome and findings requires years of experience and takes a lot of time. Artificial intelligence, on the other hand, can evaluate the images in just a few seconds.

How can we exploit the enormous potential of AI for doctors and ultimately for patients - while at the same time we take data protection into account and allow patients to have more control over their data? That's what Prof. Daniel Rückert explains in the BioM podcast episode.

Prof. Rückert, ELLIS Member and unit member of ELLIS Munich, is Alexander von Humboldt Professor for Artificial Intelligence in Medicine and Healthcare at the Technical University of Munich. His research focuses on the development of innovative algorithms for biomedical image acquisition, image analysis and interpretation and focuses on using AI for extracting clinically useful information from biomedical images.


Link to podcast: