More clinically relevant tumors detected at an earlier stage and at lower costs: New research finds that AI can replace the second radiologist in the Dutch breast cancer screening program.
Medical imaging methods are often affected by background noise, which can obscure fine anatomical details. A new approach to solve this problem draws inspiration from quantum mechanics.
Denoising of diffusion-weighted MRI data creates sharper images – but does it actually lead to better diagnostic results? Researchers explored the impact of noise removal on detecting abnormalities.
CT imaging is important to detect residual lung abnormalities after a Covid-19 infection. To avoid confusion with interstitial lung diseases, experts from 14 countries published a best-practice guide.
By directing radiologists' attention to potentially suspicious areas, AI can help spot more lesions indicative of breast cancer in mammograms. This is suggested by a new study.
A neural network AI has been trained to detect cardiac amyloidosis from a single echocardiogram video of the heart's apical four-chamber view and differentiate it from similar heart conditions.
A new study shows that retrieval-augmented generation (RAG) can eliminate hallucinations in clinical large language models (LLMs) while protecting patient privacy during contrast media consultations.
Using cardiac MRI, researchers have found that long-term exposure to air pollution is associated with early signs of heart damage, according to a new study.
A new technique called photoacoustic computed tomography (PACT) offers a breast imaging alternative without the discomfort, high costs, or risk associated with the conventional evaluation methods.
Covid-19 has intensified domestic violence rates worldwide, with children among the most vulnerable victims. At the ECR 2025 radiology congress in Vienna, Dr Rick R. Van Rijn presented compelling insights into how radiologists can identify non-accidental trauma (NAT) in children through systematic imaging approaches. From comprehensive skeletal surveys to specific neurological imaging protocols,…
A research group at Osaka Metropolitan University developed an AI model that can detect the presence of hepatic steatosis (fatty liver disease) from chest X-ray images.
An AI-assisted model can take low-quality MRI heart scans and turn them into high quality images, while reducing the time needed to scan the heart by about 90%.
A new PET imaging technique can accurately detect and monitor Mycobacteroides abscessus lung infections—one of the most difficult-to-diagnose conditions in patients with lung diseases.
Heather Jacene, MD, assistant chief of Nuclear Medicine and Molecular Imaging at Brigham and Women’s Hospital, clinical director of Nuclear Medicine at Dana-Farber Cancer Institute, and associate professor of Radiology at Harvard Medical School in Boston, Massachusetts, has been named president-elect of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).
MRI study of 802 patients shows carotid plaques become more complex over six years, with calcified plaques twice as likely to develop dangerous internal bleeding.
New research demonstrates CT colonography outperforms stool DNA testing in both clinical effectiveness and cost savings for colorectal cancer screening.
Maternal contractions during childbirth put considerable stress on a baby's heart. Using a new ultrasound technique, researchers were able to predict complications necessitating C-section.
Ground-breaking innovation for endovascular surgery: The new software package Endovascular Navigation supports physicians in their interventions with planning, navigation and fusion imaging.
A quarter of deaths in the UK are caused by heart disease, the equivalent of one person every 3 seconds. New research suggests that effective diagnosis might literally be as easy as riding a bike.
Lung cancer is the leading cause of cancer death in the EU, yet no organized screening program exists to detect the disease before symptoms appear. This September, France will strike back with an ambitious pilot program that could boost European lung cancer screening. Professor Marie-Pierre Revel presented the details at the French Thoracic Imaging Society Spring Days in Marseille, highlighting…
Many women are only diagnosed with breast cancer after they present to a doctor with symptoms. A new study points out that early detection through screening leads to improved outcomes.
What if every radiographer could help combat climate change while performing their daily work? Following the congress theme of ECR 2025, experts revealed how small changes – from education initiatives to simple workflow adjustments – can collectively transform the environmental impact of radiology.
United Imaging, a global leader in cutting-edge diagnostic imaging and radiotherapy solutions, proudly unveils two groundbreaking additions to its portfolio — the uMI Panvivo and the uMR Ultra — both newly CE-marked and set to redefine the standards of precision and performance in medical imaging.
Medical device manufacturer Medtron is expanding its portfolio with two new reusable syringe models. The new products will be presented to the public for the first time at the German Radiology Congress in Wiesbaden.
Experts from the University of Nottingham have proven that multiple sclerosis can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture.
