The Institute‘s research aims to address the rapidly increasing complexity in healthcare. We want to achieve better outcomes for patients and support medical professionals in their demanding everyday tasks to act more precisely and efficiently in the networked future. This podcast presents selected research and developments of the Institute with which we shape the future of digital medicine.
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“The BOX Will See You Now”: An Interactive Artwork Exploring the Influence of AI in Medical Diagnostics
7:04
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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 …
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KI for multicentric studies and precise tumor therapies
8:07
8:07
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By Fraunhofer MEVIS
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A complete package for minimally invasive tumor therapy
7:21
7:21
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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/wu8By Fraunhofer MEVIS
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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 arti…
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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.…
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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 de…
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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.By Fraunhofer MEVIS
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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.By Fraunhofer MEVIS
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AI Collaboration Toolkit: One Platform, Many Tools
4:54
4:54
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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.By Fraunhofer MEVIS
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Targeted Navigation and Precise Motion Control
4:50
4:50
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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.By Fraunhofer MEVIS
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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.By Fraunhofer MEVIS
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The Digital Transformation in Hospitals and Medical Practices
5:27
5:27
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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. Simul…
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