Radiology

Radiology with imaging techniques like MRI and CT is a mainstay in the diagnosis of diseases and the guidance of medical procedures. Keep reading to see the latest developments.

Article • Affordable, sustainable – but underused

Low-field MRI: The imaging solution radiologists haven't learned to trust

At the 2025 ESMRMB Annual Meeting in Marseille, speakers made a strong case for what remains an outsider in radiology: low-field MRI. Despite its affordability, improved performance, and reduced…

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…

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…

News • Estimation of nodule malignancy risk

Lung cancer screening: AI to reduce false positives

Misinterpreting the malignancy risk of lung nodules often results in high false-positive rates, unnecessary follow-ups, increased patient anxiety and healthcare costs. A new study suggests that AI…

News • Computed Tomography

European debut for new Canon modular CT system

Canon announces the launch of the Aquilion One / Insight Edition 160, a new addition to its computed tomography (CT) portfolio. The new system made its debut at Röntgenveckan (Stockholm, Sweden).

News • Reliability of mammography analysis

AI still misses 14% of advanced breast cancer cases, study finds

AI may be effective at detecting advanced breast cancer in mammograms, but current models still lack reliability. New research from Korea suggests that up to 14% of invasive cases are missed.

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…

News • Radiology consensus statement

How to: CT imaging for post-Covid-19

CT imaging is important to detect residual lung abnormalities after a Covid-19 infection. To avoid confusion with interstitial lung diseases, experts from 14 countries published a best-practice guide.

News • Digital health

DeepHealth completes iCAD acquisition for breast cancer AI tools

RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.

News • "An additional set of eyes"

Breast cancer diagnosis: AI decision support improves radiologists' performance

By directing radiologists' attention to potentially suspicious areas, AI can help spot more lesions indicative of breast cancer in mammograms. This is suggested by a new study.

News • Retrieval-augmented generation in contrast media consultations

Eliminating LLM hallucinations in radiology with RAG

A new study shows that retrieval-augmented generation (RAG) can eliminate hallucinations in clinical large language models (LLMs) while protecting patient privacy during contrast media consultations.

Article • Paediatric trauma in diagnostic imaging

‘It only takes one radiologist to stop child abuse’

Covid-19 has intensified domestic violence rates worldwide, with children among the most vulnerable victims. At the ECR 2025 radiology congress in Vienna, Dr Rick R. Van Rijn presented compelling insights into how radiologists can identify non-accidental trauma (NAT) in children through systematic imaging approaches. From comprehensive skeletal surveys to specific neurological imaging protocols,…

News • Deep learning model

AI detects fatty liver disease with chest X-rays

A research group at Osaka Metropolitan University developed an AI model that can detect the presence of hepatic steatosis (fatty liver disease) from chest X-ray images.

News • Imaging

Carotid Plaques Evolve Dangerously Over Time in Asymptomatic Patients

MRI study of 802 patients shows carotid plaques become more complex over six years, with calcified plaques twice as likely to develop dangerous internal bleeding.

Article • Launch of new national program

A new “impulse” for equitable lung cancer screening in France

Lung cancer is the leading cause of cancer death in the EU, yet no organized screening program exists to detect the disease before symptoms appear. This September, France will strike back with an ambitious pilot program that could boost European lung cancer screening. Professor Marie-Pierre Revel presented the details at the French Thoracic Imaging Society Spring Days in Marseille, highlighting…

Article • Reducing radiology's environmental footprint

Healing without harming: Radiographers' path to sustainable imaging

What if every radiographer could help combat climate change while performing their daily work? Following the congress theme of ECR 2025, experts revealed how small changes – from education initiatives to simple workflow adjustments – can collectively transform the environmental impact of radiology.

News • Study on diagnostic accuracy of AB-MRI

Abbreviated MRI effectively detects cancer in dense breasts

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.

Article • Technology impact in emergency medicine

Emergency radiology reports – AI to the rescue?

As Emergency Departments (EDs) get ever busier, focus has fallen on the role artificial Intelligence (AI) can play in supporting patients and clinicians in delivering urgent care. The topic took centre stage in a session looking at the ethics of AI in the ED at the annual congress of the European Society of Emergency Medicine (EUSEM) in Copenhagen.

News • Patient data extraction, manipulation, poisoning

Experts highlight LLM cybersecurity threats in radiology

Integration of large language models (LLMs) in healthcare is still in its early stages, but expected to expand rapidly. Now, researchers point out potential cybersecurity vulnerabilities in radiology.

News • Radiomic parenchymal phenotypes

Dense breasts = high cancer risk? It's not that simple

Using radiomics on mammograms of over 30,000 women, researchers have identified six breast texture patterns that may be associated with increased cancer risk.

News • Imaging system installation in Barcelona

Digital PET/CT system debuts in the city of Gaudí

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.

Article • Exploring imaging advances and their impact on radiographers

‘The future of breast MRI is bright’

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…

Article • Insights and perspectives presented at ECR 2025

Nuclear medicine: Innovations, challenges, and new horizons

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.

News • Multipurpose radionuclide identification device

Handheld detector is a "Swiss Army knife" for radiation safety

Radiation safety experts developed a multi-purpose detector with a wide range of tools for different uses into a small package. For example, the detector detects all four kinds of ionizing radiation.

Bayer at ECR 2025: Less dose, more AI and sustainability

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.

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