A novel deep-learning approach automatically finds and classifies microcalcifications found in mammography images—bringing both accuracy and consistency to breast-cancer screening.
Results of a new retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation.
A new biomarker for multiple sclerosis: the inflammatory cell rim from microglial cells surrounding brain lesions was found to directly correlate with the severity and speed of disease progression.
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.
Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach. Andreas Schneck, Head of the MRI Division at Siemens Healthineers, talks about the new system, which was also presented at the European Congress of Radiology (ECR) in Vienna, and its advantages in…
Using an advanced PET scanner, US radiologists explore how cancer, neurodegenerative diseases and other systemic conditions, can affect the brain by assessing the impact on the blood-brain barrier.
United imaging announces the successful installation of their digital PET/CT system uMI 550 at Centre Mèdic Alomar in Barcelona. Equipped with comprehensive cardiac imaging features, its use extends beyond cardiology.
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…
Despite their improving diagnostic accuracy, medical AI systems are often met with skepticism by radiologists. Their patients, however, seem more inclined to embrace this technology, a study shows.
Nuclear medicine (NM), one of the more mature technologies of diagnostic imaging, has been experiencing a rebirth in innovation and interest. The increasing prevalence of cancer,, an aging global population, and greater longevity, has created a robust demand for nuclear medicine. At ECR in Vienna, presenters explored market perspectives, but also safety and sustainability challenges.
Despite previous global declines, pulmonary tuberculosis (TB) is on the rise again. A new AI-powered lung ultrasound shows promise in improving diagnostic performance of TB.
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 the COX-2 enzyme, a new PET imaging approach offers a never-before-seen view of inflammation in the brain, opening the door for clinical and research settings for various brain disorders.
3 out of 10: Mammography screening has been shown to be effective in reducing breast cancer mortality. Still, many cancers are diagnosed between screening rounds, a new study shows.
A large new study of more than 40,000 patients finds that a zero coronary artery calcium score continues to be an accurate indicator of a low risk for a coronary heart event even as a person ages.
To diagnose prostate cancer, an MRI-guided biopsy is often performed. Now, a study shows that micro-ultrasound is just as effective, cheaper and easier to use. This could help free up MRI capacities.
Patients attending GP practices with the highest chest x-ray usage are more likely to be diagnosed with lung cancer at an earlier, more treatable stage, a new study finds.
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.
Nuclear medicine specialists have successfully used the radiopharmaceutical Ga-68-Trivehexin from Trimt to accurately diagnose patients with pulmonary fibrosis and concurrent lung cancer.
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…
New findings show how AI-assisted mammography may not only reveal breast cancer, but can also assess calcium buildup in the arteries within breast tissue—an indicator of cardiovascular health.
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.
Agios Andreas General Hospital of Patras, Greece, is set to enhance its diagnostic capabilities with the installation of a new digital PET/CT imaging system.
To reduce the radiation exposure for patients undergoing frequent CT scans for pneumonia diagnosis, deep learning-based denoising of ultra-low dose CT presents a viable alternative.
