On November 29, 2024, the first CAIMed Meet-up took place in Hanover, an event focusing on the opportunities and challenges of trustworthy artificial intelligence (AI) and causal models in medicine. Researchers and experts presented new approaches with the potential to sustainably transform diagnostics and treatment. The event not only highlighted the current state of research but also provided a platform for knowledge exchange and the development of new scientific collaborations.

The event began with a welcome address by Prof. Dr. techn. Wolfgang Nejdl, spokesperson of the CAIMed Directorate. He emphasized the importance of interdisciplinary collaboration to address challenges in medical research and effectively leverage technological innovations.

The three thematic sessions of the CAIMed Meet-up offered fascinating insights into the application of modern AI technologies in medicine. Researchers presented approaches demonstrating how causal models and transformer architectures can be used to better understand complex biological processes and derive new insights from genetic and cellular data. In addition, innovative methods to improve imaging and the analysis of medical signals were showcased, enabling more precise diagnostics, such as for lung diseases. The exchange was rounded off with insights into the use of AI-based systems in pathology, which can analyze tumor tissue more efficiently, thereby optimizing cancer diagnostics and treatment.

In addition to the technical presentations, there was intensive interaction among the participants. Researchers seized the opportunity not only to present their work but also to engage in in-depth discussions about approaches and challenges.