Digital Health
New technologies and discoveries in medicine have made an unprecedented quality of life possible. In order to make know-how and technology available in the right place at the right time, we require new digital infrastructure, forward-thinking processes and interdisciplinary collaborations to mirror advances in all aspects of life. Through research projects focusing on Digital Health, we make an important contribution to reliably improving the efficiency, quality and safety of healthcare.
Featured projects
In order to ensure that everyone has access to healthcare of the very highest standard, this is where cutting-edge research and teaching are networked. The interdisciplinary collaboration between high-tech and medical professionals and the first-ever joint training of a new generation of clinical researchers and engineers aims to develop innovative digital applications and processes directly with patients.
- Hospital Machine Learning Platform
This project aims to develop and research a technological hub where clinical researchers, assisted by IT experts, will be able to integrate medical data, structure it, and have it prepared for processing by various machine learning processes in an automated fashion. The goal is the iterative establishment of specific machine learning workflows for various explicit clinical issues in each case, i.e., the selection of target criteria, data sets, and suitable machine learning processes, as well as the parameterization of the algorithms and the visual presentation of results.
- Surgical support via AI and augmented reality
A novel system which integrates pre-operative image data such as magnetic resonance imaging and computer tomography into a live patient model and augments camera views for doctors during laparoscopic surgery with different views of this model will be researched and developed. Specifically, the target tissue (the tumor), important blood vessels or, alternatively, non-sensitive connective tissue can be displayed and superimposed. This will provide surgeons with an integrated and adaptive view, improve the quality of surgeries, and make new medical procedures feasible.
Contact persons
Prof. Dr. rer. nat. Uwe Aßmann
Faculty of Computer Science
Chair of Software Technology
Prof. Dr. Gianaurelio Cuniberti
Faculty of Mechanical Science and Engineering
Chair of Material Science and Nanotechnology
Prof. Dr. phil. nat. Ronald Tetzlaff
Faculty of Electrical and Computer Engineering
Chair of Fundamentals of Electrical Engineering
Prof. Dr. rer. medic. Hans-Peter Wiesmann
Faculty of Mechanical Science and Engineering
Chair of Biomaterials