Bernhard Kainz
I am a Professor at Friedrich-Alexander-University Erlangen-Nuremberg, heading the IDEA Lab, and in the Department of Computing at Imperial College London, where I lead the human-in-the-loop computing group and co-lead BioMedIA.
Our research advances intelligent algorithms for multi-modal healthcare: generative and discriminative machine learning for diagnostic decision-making, real-time procedural guidance, and normative learning for safe AI at the front lines of patient care.
Research Group
Borderless Research
Connecting Minds · Advancing Machine Learning and Medicine
- Post-pandemic, distributed team across nations and institutions
- EU-funded research and international collaboration
- Knowledge without borders, innovation without limits
- Bridging London and Erlangen with shared goals
Current Research Questions
Can we democratize rare healthcare expertise through Machine Learning,
providing real-time guidance and second-reader expertise in retrospective analysis?
Can we develop normative learning from large populations, integrating imaging,
patient records, and -omics, to create data analysis that mimics human decision making?
Can we provide human interpretability and effective human-machine teamwork
to support the right for explanation in healthcare AI?
Teaching
Real-time computing, Machine Learning, Image Analysis, Computer Graphics and Visualisation.