04.01.2023License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation.
15.11.2022Four eyes see more than two – but do artificial eyes also see more than real ones? In any case, radiologists will increasingly rely on the support of algorithms in the future. These programs do not tire, even when looking at countless images. At MEDICA 2022, we met companies that already rely on AI in imaging.
23.08.2022Every minute counts when someone is having an acute stroke. If the cause is a vascular blockage caused by a blood clot (thrombus) in the brain, detailed insights into the thrombus composition is critical to remove or dissolve it successfully and help restore blood flow. But that’s often easier said than done when "time is brain".
01.02.2022Does medicine get digital when we scan in diagnostic findings and digitize them in the process? It obviously is more efficient to record data directly in digital form, but not all diagnostic tools have this option. Computed tomography has now made enormous progress in this area: Unlike conventional CT technology, the new photon-counting CT directly creates digital image data.
05.11.2021When the coronavirus enters the lung, it causes massive tissue damage. Now, an international research team has been able to demonstrate for the first time, using a highly innovative X-ray technique in a non-destructive manner, that severe COVID-19 causes massive remodelling of the finest blood vessels by causing normally separate blood systems to join together with unusual frequency.
16.07.2021Prostate cancer is the most diagnosed cancer and a leading cause of death by cancer in Australian men. Early detection is key to successful treatment, but men often dodge the doctor, avoiding diagnosis tests until it is too late.
01.04.2021The job of surgeons starts long before they step into the operating room. They must use two-dimensional MRI or CT scans to plan the surgical steps on a three-dimensional patient, relying on their experience, skill, and spatial sense. Using mixed reality (MR) to view human anatomical models allows for better visualization and navigation.
01.04.2021For surgeons, nothing is more important than intimate knowledge and a spatial understanding of their operating field. Yet even three-dimensional imaging methods only provide limited assistance because the data is viewed on two-dimensional screens. When it comes to surgical planning or medical education, Mixed and Virtual Reality foster a better spatial understanding of the human body.
17.01.2020A hospital generates several thousands of gigabytes of data each day. The growing flood of data is no longer manageable for doctors. The great hope: artificial intelligence. Radiology is the main beneficiary. Dr. Felix Nensa from Essen University Hospital and Dr. Peter Langkafel from the Digital Health Factory tell us more about the possibilities and limits of learning machines.
01.10.2019Pneumonia, COPD or cystic fibrosis – people with such lung diseases have to consult their doctor regularly. Little children have to undergo certain measurements by the doctor, too. In order to save people`s need to visit a doctor, telemedicine offers many ways to do examinations at home.
02.09.2019More patients, more examinations, more CT images – in radiology there is too much work for too few physicians. CT scans are evaluated in the shortest possible time, which leads to anomalies being overlooked. Artificial intelligence, on the other hand, works with constant speed and performance, which is why radiological routine increasingly relies on its support.
02.09.2019In modern medicine, especially in the field of imaging, huge amounts of data are produced – so much that radiologists can hardly keep up with diagnosing the images. Artificial Intelligence could be the solution to this problem. But how exactly can it help in this task? How can man and machine work together? And what else will be possible in the future with the support of intelligent systems?
02.09.2019Radiology is a field that produces large volumes of data, which can no longer be managed without the help of intelligent systems. This is especially true when it comes to the interpretation of medical images. While this takes physicians years of training and experience, several hours of work and the highest level of concentration, AI only requires a few seconds to accomplish the same task.
02.09.2019Artificial intelligence is no longer a dream of the future in medicine. Many studies and initial application examples show that it sometimes achieves better results than human physicians. At Jena University Hospital, the work with AI is already lived practice. It is the first institution in the world to use algorithms in radiological routine to reconstruct CT images.
08.04.2019Cardiac arrhythmia is a group of conditions where nerve cells trigger uncontrolled contractions of the heart muscle. They are treated with either medicine or catheter ablation of the tissue. In an interdisciplinary collaboration, cardiologists and radiotherapists took a different approach and used high-precision radiation therapy to treat a patient for whom the other options proved unfeasible.
01.04.2019Our brain is the command center of our body. This is where all information and impressions are collected and converted into responses and movements. Modern imaging techniques offer physicians and researchers unique insights into the actions of the human central nervous system. The functional imaging technique allows them to watch our brain in action.
01.04.2019In an ischaemic stroke, rapid treatment is essential. In this moment good imaging data is particularly important to enable doctors to make the best possible decision for therapy. Modern CT scanners are increasingly being used to assess stroke patients because they can show the blood flow to the brain over time.
01.04.2019All information from our body and the environment converges in our brain and is transformed into reactions in milliseconds. It is essential for medicine and research to know what our switching centre looks like. Functional methods are used to observe it more closely during work.