News • Imaging system installation
AI-assisted 1.5T MRI debuts in Serbia
United Imaging is pleased to announce that VMR Diagnostic Center has become the first institution of its kind in Serbia to benefit from their imaging solutions.
United Imaging is pleased to announce that VMR Diagnostic Center has become the first institution of its kind in Serbia to benefit from their imaging solutions.
A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.
Experts have used magnetic resonance imaging (MRI) to better understand the impact a gluten free diet has on people with celiac disease, which could be the first step towards new treatments.
A new MRI-based imaging technique predicts the response of ovarian cancer tumours to treatment, and rapidly reveals how well treatment is working, in patient-derived cell models.
Spinal cord stimulation is performed for patients with chronic pain. However, for some patients, the procedure is not effective. A new method involving fMRI could help predict success.
Discover in only one minute, how the Get Up holding system sustainably assists both patients and medical staff.
Siemens Healthineers expands its 1.5 Tesla Magnetom Flow. Platform to include a model with a 70-centimeter bore with the introduction of a new magnetic resonance imaging (MRI) scanner at RSNA 2024.
After a Covid-19 infection, patients may suffer from a variety of symptoms, including difficulty concentrating (“brain fog”). New research now linked the condition to impaired lung function.
As a direct result of the collaboration of United Imaging with APR Salud in Spain, HM Málaga Hospital will join the ranks of medical facilities leveraging the leading-edge imaging technology of the company. This comprehensive treatment center has made the decision to expand its diagnostic capabilities by installing the groundbreaking uMR 680.
Not every spine abnormality shown in an MRI scan causes pain for a patient. To diagnose correctly, researchers advocate the use of questionnaires to match the images with reported symptoms.
Magnetic resonance imaging (MRI) has made the jump to the Antarctic continent. A new mobile scanner at the Concordia research station is used to study effects on the brain even further away: in space.
Using smartly trained neural networks, researchers at TU Graz have succeeded in generating precise real-time images of the beating heart from just a few MRI measurement data.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
New resesarch suggests a new way of assessing the risk of heart failure without invasive diagnostic tests. The method involves MRI to measure heart pressure as a predictive factor.
Just a concussion? Head injury can lead to persistent symptoms, yet CT scans often fail to identify these cases. Researchers explore the potential of diffusion tensor imaging for better diagnostics.
Combining risk markers, systematic evaluation of MRI images and AI, researchers aim to predict the risk of prostate cancer more accurately than before. This could save many patients from a biopsy.
The interpretation of prostate MRI is notoriously difficult. Annotating AI shows promise to help improve diagnostic performance through increased cancer detection rates with fewer false positives.
Isn't that the guy from House Stark? For people with prosopagnosia, this is not easy to answer. Using characters from Game of Thrones, UK psychologists shed new light on the condition.
Using an advanced scanner, researchers have developed a technology that can detect the earliest changes in the kidney when scar tissue begins to form.