Lab for Artificial Intelligence in Medicine

We are a young, diverse, and interdisciplinary team of scientists dedicated to developing deep learning methods for medical applications. Our goal is to extract valuable knowledge from clinical routine data and advance diagnostics and treatment in precision medicine.

We are based within the Department of Diagnostic and Interventional Radiology of RWTH Aachen in close proximity to the Netherlands and Belgium.

The Team

We are a young, diverse, and interdisciplinary team of scientists dedicated to developing deep learning methods for medical applications. Our goal is to extract valuable knowledge from clinical routine data and advance diagnostics and treatment in precision medicine.

More about our Team

Research

We focus on developing and applying advanced machine learning techniques to extract actionable insights from clinical routine data. We develop multimodal fusion algorithms and investigate the potential of generative models, large language models and have an expertise in cancer imaging and Musculoskelettal Imaging.

Learn about our Research

Funding

We are currently funded by the German Research Foundation (DFG), the Federal Ministry of Education and Research and the European Union.

Learn more about our currently funded projects

Get in Touch

We are always seeking talented and motivated individuals to join our dynamic and interdisciplinary team. If you are a passionate student or researcher interested in the exciting field of AI applications in medicine, we would love to hear from you!

Say hello!

News

Daniel Truhn featured on “Faszination Medizin” Podcast

We’re happy to share that our group lead, Univ.-Prof. Dr. med. Dipl.-Phys. Daniel Truhn, M.Sc., was featured in the latest episode of the podcast Faszination Medizin. In the episode, he discusses his unique journey from physicist to physician, the rapid advancement of AI technologies, and their role in shaping medical decision-making. Listeners also get a […]

New Ideas for Existing Data?

With the funding initiative “DataXperiment,” the BMBF (Federal Ministry of Education and Research) supports innovative research projects aimed at reusing or further utilizing existing data and tools in cancer research within the framework of the National Decade Against Cancer. Our Postdoc Gutav Müller-Franzes’ project CLIMB (Contrastive Language Image analysis for Magnetic resonance Breast cancer diagnosis) […]

Artificial Intelligence in the fight against Cancer: RWTH Aachen University Hospital receives 1.2 Million Euros in funding for DECIPHER-M

Together with partners from Dresden, Essen, Heidelberg, Mainz, and Munich, the project explores the applications of artificial intelligence (AI) in the treatment of cancer. The goal is to identify new approaches for improving the treatment of cancer and to sustainably enhance treatment options. The project is initially funded by the Federal Ministry of Education and […]

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