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.

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

Group 6@4x

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

Exciting News: ERC Starting Grant Awarded to Daniel Truhn

We are proud to announce that our group leader has been awarded a prestigious ERC Starting Grant for the project SAGMA – Synergistic Agents for General Medical AI.  SAGMA aims to revolutioniere medical AI by moving beyond today’s narrow, task-specific tools. The project will develop a next-generation, agent-based system in which multiple specialized AI models […]
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Soroosh Tayebi Arasteh Selected for Radiology: Artificial Intelligence Trainee Editorial Board

We are delighted to share that Soroosh Tayebi Arasteh has been selected to join the highly competitive Radiology: Artificial Intelligence Trainee Editorial Board (TEB). This career development program, organized by the journal’s editorial board and the RSNA Board of Directors, offers an exceptional opportunity for early-career researchers to contribute to the field of medical AI […]
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Registration Open: ODELIA Summer School 2025 in Barcelona

Mark your calendars! The ODELIA Summer School 2025 will take place from September 16–18, 2025, at the Vall d’Hebron Institute of Oncology (VHIO) in Barcelona, Spain. This intensive 3-day event is designed for early-career researchers, clinicians, and data scientists who want to dive deep into the world of AI in medical imaging. Participants will experience […]
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