Psychiatrists and neuroimaging experts gathered to explore one of the last remaining frontiers in radiology – the human mind – at the annual meeting of the French Society of Radiology (JFR) last October in Paris. Their conversation oscillated between neurons and narratives, algorithms and emotions – a vivid reminder that psychiatry is not only about understanding the brain, but about…
A PSMA PET/CT imaging test could safely halve the number of people who need a biopsy for suspected prostate cancer following inconclusive or reassuring results from an MRI scan, new research finds.
Leveraging the power of chaos theory, experts have developed a new way to encrypt medical images such as X-ray, CT and MRI scans, keeping them secure even if hospital networks are breached.
Breast cancer screening could also be used to screen for cardiovascular disease, new research suggests: The risk of serious or fatal heart disease can be predicted with AI analysis of mammograms.
Today’s advanced CT applications require outstanding spatial resolution for both image quality and workflow. To make the most out of the current detector technology, attention has shifted to utilizing the X-ray source to increase spatial resolution, through extra small focal spots.
Fujifilm Healthcare Europe will present the new Arietta DeepInsight x ultrasound technology platforms at the House of Fujifilm experience at ECR 2026: Rays of Knowledge.
Italian imaging company Esaote will be at the European Congress of Radiology 2026 (Booth 505, Expo Hall X5) and present latest additions to their ultrasound, MRI and Enterprise Imaging portfolio.
Few medical specialties evolve as rapidly as radiology. Continuous advances in imaging technology, the integration of artificial intelligence, and growing interdisciplinary collaboration demand that professionals stay at the forefront of knowledge. The European Congress of Radiology (ECR) 2026 in Vienna embraces this reality with its motto “Rays of Knowledge”.
A new type of 3D imaging reveals how amyloid β (Aβ) deposits spread along blood vessels in the human brain. This could lead to targeted therapies for Alzheimer's disease and CAA.
A breakthrough in cardiac electrophysiology: the first system capable of simultaneously mapping all 4 chambers of the heart, providing physicians with a comprehensive, real-time view of arrhythmias.
Researchers have developed 3D volume rendering methods for cardiac MRI that display complex structures within the heart and show blood flow. This can guide treatment decisions in pediatric patients.
A new kind of intraoperative MRI (iMRI) can perform functional MRI scans in real time during brain surgery — helping surgeons detect potential complications in as little as seven seconds.
A study of 200 lung cancer patients shows photon-counting CT cuts radiation by 66% and contrast agent by 27% - while delivering sharper images and better tumor detection than conventional CT.
MIT researchers have developed a miniaturized ultrasound system that could make it easier for breast ultrasounds to be performed more often, either at home or at a doctor’s office.
Rethinking ultrasound gel: To reduce patient discomfort during sonography exams, researchers from Japan propose a natural, reusable solid pad for clearer, more comfortable imaging.
Can a full MRI scanner be shrunk to fit through a hospital door, moved by hand, and still produce diagnostic images – including 3D and DWI sequences? At the ESMRMB 2025 Congress in Marseille, Zhiyong Zhang, researcher at Shanghai Jiao Tong University, offered a detailed demonstration that the answer is yes – if you re-engineer every layer of the machine, from magnets to mobility.
Enter the "House of Fujifilm" at ECR 2026: At the radiology congress, the company will open a dedicated space featuring workshops, demonstrations, and knowledge-sharing opportunities.
When radiologists at Stockholm's Capio Sankt Görans Hospital began working evenings and weekends to clear mounting backlogs, it became clear that something had to change. The solution? Replacing one of the two radiologists traditionally assigned to read breast cancer screenings with artificial intelligence (AI). The results: fewer false positives, more cancers detected, and radiologists…
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common AI labeling errors in large collections of radiology images.
