Klaus Maier-Hein heads the Division of Medical Image Computing at the German Cancer Research Center (DKFZ) and the Section of Automated Image Analysis at Heidelberg University Hospital. After studying computer science at Karlsruhe Institute of Technology and École Polytechnique Fédérale de Lausanne he received his PhD in computer science in 2010 from the University of Heidelberg, followed by postdoctoral work at DKFZ and Harvard Medical School. His research is focused on deep learning methodology in the context of medical image analysis and the development of research software infrastructure for efficient translation of results.
Despite its vast potential, the actual practice-changing clinical impact of “artificial intelligence” has so far been rather modest. Why is that? The talk will cover several major challenges that I consider essential in unlocking the full potential of machine learning in radiology, and I will present current examples of our ongoing research that addresses them.