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Fraunhofer MEVIS STEAM Imaging Residency Culminates in Interactive Exhibition at Edinburgh Science Festival How can complex physical processes be made visible and tangible? It was this question that British glass artist Gregory Alliss explored last November during the art residency “STEAM Imaging VI.” The residency, hosted by Fraunhofer Institute for Digital Medicine MEVIS in collaboration with the Institute for Design Informatics at the University of Edinburgh, took place at the research institute in Bremen—providing Alliss with the opportunity to integrate science and art in a truly unique way. Read More

How the collaborative software platform CuraMate helps accelerate research and development of AI models   CuraMate is a toolkit for processing medical image data – from CT to MRI to ultrasound. What makes the platform developed by Fraunhofer MEVIS so special is that it facilitates collaboration between multiple users: Researchers, clinicians, and pharmaceutical companies can work together to highlight structures in medical images, track changes, and train AI models.  Read More

Listen to experts from our 30 years anniversary celebration as they share how AI tools could transform diagnosis and tailor therapies. Read More

In the podcast 30 Years of Fraunhofer MEVIS – Rethinking Digital Medicine, Institute Director Prof. Horst Hahn talks about the beginnings, successes, and future visions of the Fraunhofer-Institute for Digital Medicine MEVIS.

The audio report explains how MRI sequence development can be made more accessible and user-friendly for researchers, healthcare professionals, and students alike. More information

In the 2025/26 school year, the new upper secondary specialization called “Digital Medicine” will launch in Bremen, developed by Fraunhofer MEVIS and the Oberschule am Waller Ring.  Read More

The BOX by Fiona Smith is an interactive installation that explores the “black box” aspect of AI technology, posing the question: If we feed AI with incomplete or biased data – can we then expect it to make reasonable suggestions? Scottish artist, scientist, and physician Fiona Smith visited Fraunhofer MEVIS in Bremen to develop an interactive art installation as part of the “STEAM Imaging V” residency program. With the theme “Holding the ‘Digital’ in Medicine to Account,” participants aim to look beyond the promises of new technological developments and data-driven tools. The goal is also to help prospective students gain a critical understanding of AI-driven applications in the healthcare sector, which increasingly permeates the interaction of all participants in the development process. Read More

License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation. Read More: https://s.fhg.de/wu8

During her stay at the artist residency program STEAM Imaging at Fraunhofer MEVIS, media artist Eli Joteva created a remarkable installation: To obtain the material for her digital artwork, the Bulgarian lay down in an MRI scanner for hours. The result: a digital installation called “IntraBeing.“ The starting point of the residency is to bring artists together with scientists and school students to transcend disciplinary boundaries, develop flexible forms of learning and collaboration, and teach skills to use new technologies effectively and critically. Read More

Heart valve operations are often very complex and have to be prepared with great precision. The Fraunhofer Institute for Digital Medicine MEVIS and the Charité are developing an assistance system that will ease planning interventions by using virtual reality. In the future, patients should also benefit from this new technology.

A diagnosis has been made. Now is the up to clinicians, alongside their patient, to find an appropriate treatment. However, as more and more treatment choices are becoming available, the most suitable one isn’t always the most obvious choice. The Fraunhofer Institute for Digital Medicine MEVIS is developing AI-based support systems to facilitate decision-making and pave the path towards finding the optimal treatment.

Biomarkers are often indispensable for accurate diagnoses. The Fraunhofer Institute for Digital Medicine MEVIS is working on adaptive algorithms that make the search for new biomarkers much easier. This can provide physicians with valuable support in choosing the best possible therapy.

Cancer patients generally need to attend regular checkups, which help determine how the patient responds to a new treatment.  The Fraunhofer Institute for Digital Medicine MEVIS is working on a method supported by AI to carry out follow-up checkups more quickly and accurately.

Programming AI is a complicated process. Huge amounts of data need to be collected, reviewed, and evaluated. The Fraunhofer Institute for Digital Medicine MEVIS is developing a platform that integrates all key steps and eases collaboration between programmers and clinicians.