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.
A new PET tracer has the potential to play a critical role in the diagnosis, treatment, and monitoring of aggressive triple-negative breast cancer (TNBC), improving clinical outcomes for patients.
A new study reveals that AI can accurately rule out negative low-dose CT (LDCT) scans, potentially reducing the workload of radiologists in lung cancer screening by up to 79%.
Anatomically accurate 3D-printed phantoms for CT imaging and AI training show promise as an alternative to cadavers. The new technology allows for patient-specific phantoms with realistic radiopacity.
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.
Researchers developed an AI-based system which has has a broad ability to identify even subtle differences between medical images taken at different times, and to predict related outcome measures.
Using a prototype field cycling imager (FCI) scanner to examine breast cancer tissue, scientists distinguish tumour material from healthy tissue with more accuracy than current MRI methods.
Science, sustainability, and society – these are the three cornerstones of this year’s European Congress of Radiology (ECR) in Vienna, Austria. Following the motto “Planet Radiology”, the congress focuses on the environmental impact of diagnostic imaging while exploring ways to advance equitable global healthcare access.
