3 questions for...
Prof. Dr. Bodo Rosenhahn
Mentor
Bodo Rosenhahn studied computer science (with a minor in medicine) at the University of Kiel and received his doctorate in engineering in 2003. He has been a professor at Leibniz Universität Hannover since 2008, where he heads a group on automated image interpretation. He is also a director at the L3S Research Center and a CAIMed mentor in the fields of machine learning, digital signal processing and statistics. The aim of CAIMed is the multimodal analysis of high-dimensional data, the learning of common embeddings in latent spaces in order to holistically capture molecular and clinical data.
1.
How do you see the opportunities for development in your field of research through collaboration in CAIMed?
Bringing together experts from the fields of medicine, statistics, bioinformatics and engineering is a unique opportunity to unearth data treasures. This will further advance basic research in the various disciplines and enable completely new approaches to personalized medicine.
2.
How important is collaboration between AI experts and healthcare professionals for the success of AI in medicine?
Collaboration is to be enabled by hybrid artificial intelligence approaches and raised to completely new levels. The synergetic interplay of human and artificial intelligence will support and encourage doctors in their difficult decisions. support and encourage them in their difficult decisions.
3.
How can ethics and transparency be ensured in AI-supported medical decision-making processes?
Ethics and transparency require efficient collaboration between ethicists, physicians and computer scientists. Computer scientists must integrate ethical values as boundary and constraint conditions in the AI systems during the optimization phase and carry out posthoc analyses for running systems in order to recognize bias and drift at an early stage.
