We are a division at the Department of Health Services Research founded in December 2021 focusing on Artificial Intelligence for Health.

Our research interests are twofold: On the one hand, they cover self-supervised/label-efficient learning and explainability/trustworthiness of AI algorithms as cross-sectional topics, and on the other hand they include various applications of machine learning, mostly in the biomedical domain. Nils Strodthoff is currently director of the Scientific Centre for Methods of Artificial Intelligence and Data Science (WiZArD - Wissenschaftliches Zentrum für Methoden der Artificial Intelligence und Data Science) and co-chair of the Profiling Initiative University Diagnostic Centre.

Feel free to reach out if you are looking for BSc/MSc thesis topics in the domain of self-supervised learning, explainable AI and/or biomedical applications of machine learning.

In teaching, the division is responsible for a wide range of courses covering the fundamentals of machine learning and its applications in biomedicine. Nils Strodthoff is the chair of the MSc Data Science and Machine Learning program, which has been offered since the winter semester 2025/2026.

Keynote speech "Machine learning in health - methods, opportunities and challenges" at the 6th Lower Saxony Digital Health Summit. Recording of the article in the Niedersächsisches Ärzteblatt (12/22)