Fraunhofer MEVIS (English)
Monitoring Tumor Therapy More Precisely

Monitoring Tumor Therapy More Precisely

April 16, 2021

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.

AI Collaboration Toolkit: One Platform, Many Tools

AI Collaboration Toolkit: One Platform, Many Tools

April 9, 2021

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.

Targeted Navigation and Precise Motion Control

Targeted Navigation and Precise Motion Control

April 1, 2021

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.

On the Trail of Important Life Processes

On the Trail of Important Life Processes

March 25, 2021

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 Digital Transformation in Hospitals and Medical Practices

The Digital Transformation in Hospitals and Medical Practices

March 25, 2021

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 interdisciplinary cooperation.

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