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News • AI-powered systems and European market growth

United Imaging Showcases Advanced Molecular Imaging Innovations at EANM 2025

At the 38th European Association of Nuclear Medicine (EANM) Congress, held from October 4–8 in Barcelona, United Imaging, a global manufacturer of cutting-edge medical imaging technology, showcases its most advanced AI-powered molecular imaging innovations, the uMI Panvivo family and the uMI Panorama family, and highlights the company’s strong growth and confidence in the European market.

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Article • Management of escalating imaging workload

Breast cancer screening: growing with the challenge

Rising attendance in mammography screening programmes attest to the fact that women understand the importance of early breast cancer detection. However, the resulting workload increase is a growing challenge for many women’s imaging centres. At the 2025 SBI (Society of Breast Imaging) Symposium, breast imaging specialist Stamatia V. Destounis, MD, discussed her practice’s coping strategies.

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Article • Expert perspectives from ESC 2025

Faster, smarter, deeper: how new technologies redefine cardiac imaging

Cardiac imaging is evolving, and new techniques continue to uncover the secrets of the heart for cardiologists who know how to use them. At the ESC 2025 Congress in Madrid, four experts explored cutting-edge developments across different modalities. Ranging from AI-assisted ultrasound image acquisition and accelerated MRI protocols to advanced prognostic tools for CT and nuclear imaging, these…

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Interview • An interview with the President of JFR 2025

What the clinic does not say

This year, the Journées Francophones de Radiologie (JFR) will carry a clinical ambition as simple as it is essential: to shine a spotlight on those who are often overlooked. Under the presidency of Professor Mathieu Lederlin, thoracic radiologist at Rennes University Hospital, vulnerable patients will be at the heart of the annual meeting of the French Society of Radiology that will unfold…

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Article • AI-powered prediction

Machine learning identifies cardiotoxicity risk in breast cancer patients

Researchers have developed a machine learning algorithm that uses cardiac MRI images to help identify breast cancer patients who may be at risk of cardiotoxicity during cancer treatment. The research, led by cardiologist Dr Paaladinesh Thavendiranathan from Toronto General Hospital University Health Network, was presented at the European Society of Cardiology's Cardio-Oncology Conference in…

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Article • Societal and ethical impacts explored at ECR 2025

How AI is transforming radiology – and radiologists

Patient communication facilitated by chatbots, image quality optimized by machine learning: Artificial intelligence (AI) is entering radiology at breakneck speed, transforming the specialty almost beyond recognition. So, how will the future of diagnostic imaging under AI look like, and which role will humans still play in it? At the ECR congress in Vienna, experts explored the societal and…

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