Our research addresses global health challenges, aiming to improve patient care through sustainable methods. We work closely with hospitals, healthcare providers, municipalities, companies, and other research environments. Our interdisciplinary teams bring together expertise in medical technology, particularly medical imaging, which plays a crucial role in both diagnostics and treatment.
Our competence spans the entire innovation process, from gathering user needs to clinical testing. With over 25 years of collaboration with clinicians, we have developed new solutions in medical technology, leading to the establishment of three commercial companies. Our projects are typically funded by the Research Council of Norway, industry partners, regional health authorities, or the EU.
The Medical Technology Research Group consists of researchers with diverse backgrounds in technological and natural science disciplines, including mathematics, cybernetics, physics, computer science, communication technology, bio- and fluid mechanics. More than 80 percent of our staff hold a PhD in subjects related to medical technology. We have an extensive network, both nationally and internationally, in clinical fields such as gastrointestinal surgery, pulmonology, radiology, oncology, endocrinology, neurosurgery, rheumatology, obstetrics, vascular surgery, and general medicine.
Interested in collaborating with us? Get in touch and we will find out if our expertise can meet your needs.
Photo: Navigation during bronchoscopy. SINTEF/St. Olavs hospital. Photo: SINTEF/St. Olavs hospital
We will enable medical imaging in remote areas by using artificial intelligence to guide ultrasound in real-time. Thereby improving remote health care services and its environmental and economic sustainability.
The HoloSurge project will provide surgeons with a visualization and navigation tool that can improve clinical decision-making and reduce the risk of surgical complications in cancer surgery.
AI POCUS CCC aims to enhance military triage and combat causality care (CCC). Creating artificial intelligence (AI)-guided ultrasound solutions to contribute to faster diagnoses, improved treatment outcomes, and reduced unnecessary evacuations from...
Obesity and fatty liver disease are increasing in the population. There are no cost-effective and accurate ways to measure the amount of fat in the liver. In this project, we develop and test an ultrasound method to estimate liver fat.
The volume of the placenta can say something about the risk of complications during pregnancy, but there are today no effective methods for measuring this volume. In RAMPUS 2 we will develop such a method.
Norwegian national advisory unit for Ultrasound and image-guided therapy (USIGT) has expertise in ultrasound and image-guided treatment. This includes ultrasound in neurosurgery, ultrasound in laparoscopy, ultrasound in endovascular treatment of eg...
