Diagnosing breast cancer in women with extremely dense breasts often comes down to MRI, but the scans take long and are expensive. Research confirms that shorter protocols also yield accurate results.
People at risk of cardiovascular disease could be identified a decade before they have a heart attack or stroke, a new University of Dundee study has discovered.
A new 4D flow MRI method could accelerate diagnosis of aortic stenosis, a progressive and potentially fatal heart condition.
Announcing the first edition of the MSK Imaging in Sports Medicine, with the unrestricted support of Esaote. The event will take place on May 30, 2025, in Florence, Italy, at Viola Park, one of the largest sports centers in Europe.
Breast MRI has emerged as a powerful diagnostic tool, particularly for women with dense breast tissue where traditional mammography faces limitations. In her presentation at ECR 2025, radiographer Hanna Kalliomäki highlighted several technological advances transforming breast cancer detection and diagnosis. From time-saving abbreviated protocols and AI-assisted analysis to contrast-free…
A new AI tool can extract key information from brain MRI scans of multiple sclerosis (MS) patients. This could be used to improve disease and treatment response monitoring.
Contrast agents, AI and circular economy: Bayer presented new developments for radiology at the ECR Congress. Particular emphasis was placed on digital assistance systems and sustainability.
Using ‘parallel transmit’ technique, researchers have found a new way to detect lesions in the brain of patients with treatment-resistant epilepsy in an MRI scan, without imaging signal dropouts.
A greater emphasis on AI and sustainability, new approaches to mitigating staff shortage and more: At the European Congress of Radiology (ECR) 2025 in Vienna, Philips showcased its approaches to several critical issues in diagnostic imaging. The global healthtech company presented solutions addressing today's healthcare challenges while aligning with the congress's "Planet…
For Esaote, a leading Italian innovator in medical imaging - ultrasound, dedicated magnetic resonance and medical IT - the mission is to develop new technologies that can help advance diagnosis and improve patient care. Esaote has always leveraged continuous innovation as the key driver of its business strategy. This approach is also embodied in its three business areas.
MRI is an essential tool for clinicians, but the variability of image acquisition protocols is a challenge for achieving consistent and reliable interpretation. A new study intends to fix this issue.
United Imaging, a global leader in manufacturing advanced medical imaging and radiotherapy equipment, showcases a range of cutting-edge technologies aligned with sustainable values. Notably, the company achieves an A rating in the MSCI ESG ratings, highlighting its unwavering commitment to transforming medical diagnostics and patient care worldwide through a holistic, sustainable approach.
A new AI-enhanced technique makes breast cancer tissue “glow” on MRI scans. This not only improves breast cancer detection but also can help treat it more effectively, the researchers say.
A new open-source automated MRI segmentation tool is setting new standards, developers say. It adapts to any new dataset with minimal user intervention, outperforming similar tools.
The Diagnostica e Terapia Centro Aktis in Marano di Napoli, Italy, has expanded its diagnostic department with the addition of three imaging systems from United Imaging.
New AI-enabled systems, intelligent software, and imaging cloud services for improved radiology workflows: Royal Philips announces its solutions that will be showcased at ECR 2025 in Vienna.
Late-stage breast cancer patients are more often affected by brain metastases than previously believed, a new study finds. The researchers suggest that MRI screening guidelines should reflect this.
Patients with a common aggressive type of bladder cancer could get correct treatment significantly quicker as new research suggests that initial MRI imaging and biopsy could reduce wait times.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
