Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
In today’s radiology environment, speed alone is not enough. What truly matters is intelligent workflow, diagnostic confidence and consistent performance even under pressure. Samsung’s GC85A Vision+ is designed exactly for that reality.
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.
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common AI labeling errors in large collections of radiology images.
At the JFR 2025 (Journées Françaises de Radiologie), the annual meeting of the French Society of Radiology, an organist and a neuroradiologist came together to share a story that bridges two worlds rarely seen in dialogue – that of sound and that of images. One listens, the other looks. Yet both try to understand the same mystery: what happens in the human brain when music takes control?
Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.
Fujifilm announced the European release of its Advanced Laparoscopic Linear Transducer L43LAP, with a wider ultrasound field of view, a tip design intended to facilitate position and orientation identification, single-handed operability, a bending angle of up to 110 degrees, and compatibility with puncture and ablation procedures.
A novel AI-based method can distinguish between progressive brain tumours and radiotherapy-induced necrosis on advanced MRI. This could help clinicians more accurately identify and treat the issues.
Breast imaging for male and transgender patients remains an under-researched field with significant gaps in guidelines and clinical practice. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting, experts presented findings from a pan-European survey on male breast imaging and announced plans for a similar initiative focusing on transgender patients.
Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating artificial intelligence (AI) from Qure.ai into their chest X-ray workflows.
Many women over 50 schedule mammograms for breast cancer but miss out on CT lung cancer screenings they're also eligible for. Targeted outreach coul help change this, a new study shows.
Should women be told about their high breast density as part of mammography screening? While this may sound like an obvious choice, a new study warns of unintended effects.
At the RSNA 2025 annual meeting, Royal Philips has announced the expanded commercial availability of their LumiGuide 3D Device Guidance system for light-based navigation.
At this year’s RSNA annual meeting, Siemens Healthineers is presenting its new AI-powered solution for imaging procedures, called Optiq AI, designed to deliver higher quality low-dose images.
Breast cancer – including aggressive variants – are surprisingly common in younger women, a new study shows. The findings strengthen the case for earlier, risk-tailored screening, the authors say.
Dunlee will present its portfolio of integrated imaging solutions at RSNA 2025 in Chicago, Illinois. The company will demonstrate technologies for diagnostic and therapeutic imaging applications, including developments in Ultra-High Resolution and Photon Counting CT (UHR & PCCT), components for MRI-guided breast biopsies, and onboard imaging systems for radiation therapy.
A new solution enables doctors to show 3D images of a patient's anatomy during consultations. The technology is designed to help patients understand their conditions and make informed choices.
In a CT scan of the lungs, accidentally inhaled objects can be extremely subtle and easy to miss, even for experienced clinicians. A new AI model acts as a “second set of eyes” to help detect hidden cases.
A patient reports with chest pain, but in the coronary angiogram, the main heart arteries look clear, so it cannot be angina – right? A new study reveals that this approach can easily lead to misdiagnosis.
Has organ imaging using ultrasound arrived at the same level as cross-sectional imaging? At the annual conference of the German Society for Internal Medicine (DGIM), PD Dr Corinna Trenker presented new technological developments and their diagnostic significance. Despite numerous innovations such as multiparametric protocols and AI support, she made it clear that the human factor remains one of…
Metal-organic frameworks (MOFs) serve as the basis for a novel type of MRI contrast agent, which the developers hope can outperform current agents while being less toxic for the patient.
Researchers developed an AI-assisted brain atlas for visualization at microscopic detail using MRI scans. The tool could transform early detection of Alzheimer's and other neurological diseases.
About 60% women in Europe enrolled in a national breast cancer screening programme who have a screening mammogram can feel reasonably confident that radiologists will be able to diagnose early-stage breast cancer. But what about the 30% categorised as having dense breasts, and the 10% who have extremely dense breasts? At the 2025 SBI (Society of Breast Imaging) Breast Imaging Symposium held in…
3D + time: a new 4D ultrasound imaging technique could both improve our understanding of the circulatory system and facilitate the diagnosis of certain blood circulation-related diseases.
At the 2025 ESMRMB Annual Meeting in Marseille, speakers made a strong case for what remains an outsider in radiology: low-field MRI. Despite its affordability, improved performance, and reduced environmental footprint, the technology continues to face scepticism – not from regulators or patients, but from radiologists themselves.
Developmental dysplasia of the hip occurs in 2-4% of infants, but screening via ultrasound is notoriously hard to master. An AI-assisted application could prevent many unnecessary hospital referrals.
