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AI-powered foundation models like GPT have evolved from everyday tools for simple tasks to powerful systems capable of revolutionizing industries. Researchers at Helmholtz Munich are harnessing the potential of these models to drive advancements in…
The DECIPHER-M research project uses Artificial Intelligence (AI) to further understand the spread of cancer cells based on routine clinical data. The aim is to improve treatment options using a multimodal foundation model. As a key contributor,…
A landmark consensus paper introducing the FUTURE-AI framework for trustworthy AI in healthcare has been published by a collaboration of leading institutions, in which Helmholtz Munich is also involved. This important work sets a new standard for…
The project FUTURE-AI aims to bridge the gap between AI research and clinical adoption in healthcare. It provides guidelines for developing trustworthy AI tools, built on six guiding principles and 30 best practices.
The German Radiological Society has awarded the Alfred Breit Prize this year to Prof. Julia Schnabel, Director at the Institute of Machine Learning in Biomedical Imaging at Helmholtz Munich and Professor at the Technical University of Munich. The…
Helmholtz Munich organized its first "Expert Hour" in the German Bundestag. With this new event format, Helmholtz Munich will regularly provide information on politically relevant health and research topics in the future and support work in the…
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