The Department Artificial Intelligence in Biomedical Engineering (AIBE) was established as part of the Hightech Agenda Bayern. The traditional chair structure has been abandoned in order to maximize internal exchange and cooperation. Artificial Intelligence research at AIBE is centered around the study and development of intelligent systems in medicine. Our research focuses on theoretical foundations as well as applications for future healthcare.

Medical Robotics
AIBE is active in all major areas of Medical Robotics, in particular in prosthetics, surgical robotics, rehabilitation robotics and virtual reality for gamification and rehabilitation. We also specifically focus on AI-based co-adaptation of users and devices, and AI-driven human-machine interaction.

Imaging and Sensing
Our research is dedicated to improving the effectiveness and reducing side effects of medical imaging and sensing technologies. We develop novel diagnostic biomarkers, imaging methodologies, and automated image analysis techniques for early detection of disease and optimal treatment.
 
Health Data Science 
We advance methodological knowledge in the fields of biostatistics, epidemiology, public health, disease phenotyping, and medical informatics. Our aim is to contribute novel insights from observational health data to provide clinically actionable information for individual patients and to inform health policy on population level.
#innovation #FAU #AIBE

Health Data

Medical Devices

Robotics

Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU

Nora Manz

Rupali Singh

Pit Henrich

Liv Herzer

Leonie Büttner

Katharina Breininger

Irene Steinheimer

Florian Knoll

David B. Blumenthal

Claudio Castellini

Bjoern Eskofier

The Research and Academia team at AIBE@FAU focuses on advancing the field of artificial intelligence in medicine through high-impact research, interdisciplinary collaboration, and academic excellence. The team members work on developing innovative AI models and solutions in areas such as medical robotics, imaging, sensing, and health data science. They contribute to new theoretical foundations, cutting-edge applications, and publication of findings to foster future advancements in healthcare technology.

Research and Academia

Research and Academia

About

Team members