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.
In a new study, researchers have shown, for the first time, that a particular form of MRI, called diffusion tensor imaging, is capable of robustly detecting pre-malignant lesions in the pancreas.
United Imaging announces four installations of their diagnostic imaging systems at three healthcare facilities in Romania. Working closely with distributor Tehnoplus Medical, the company hopes to increase diagnostic accuracy and support better treatment outcomes.
Using a technique called field-cycling imaging (FCI) derived from MRI, researchers are able to detect signs of brain damage from stroke at ultra-low magnetic fields.
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.
