Fraunhofer MEVIS (English)
This podcast presents selected science engagement initiatives, research highlights, and developments from our Institute, where we are shaping the future of digital medicine. Our research addresses the growing complexity of healthcare systems. We strive to improve patient outcomes and support medical professionals in their demanding daily routines.
Episodes
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.
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.
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 “Hold...
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...
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.
Minimally invasive interventions play a central role in medicine, seen in applications including radiotherapy, heart catheters, and keyhole surgery. The Fraunhofer Institute for Digital Medicine MEVIS is researching methods to improve minimally invasive treatments significantly.
Ultrasound and MRI are among the most important imaging procedures in medicine. The Fraunhofer Institute for Digital Medicine is developing software solutions that optimize image acquisition and simplify tracking physiological functions.
The Fraunhofer Institute for Digital Medicine MEVIS develops innovative software solutions for more precise diagnoses and more effective therapies. The possibilities are as varied as the challenges: Artificial intelligence and self-learning algorithms will bring enormous advancements to the clinical routine in hospitals and medical practices. Simultaneously, these solutions call for new structures, for example, in data privacy and ...
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