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.
Two major Dutch hospitals, Catharina Ziekenhuis in Eindhoven and University Medical Center (UMC) Utrecht, are integrating artificial intelligence (AI) from Qure.ai into their chest X-ray workflows.
At the 2025 Journées Francophones de Radiologie (JFR), novelist, diplomat, and physician Jean-Christophe Rufin took the stage to remind an audience of radiologists that medicine, at its core, is a human story – one that needs to be told, felt, and shared. Beneath the cold light of MRI scanners and the hum of technology, he reintroduced something fragile yet essential: empathy.
At the RSNA 2025 annual meeting, Royal Philips has announced the expanded commercial availability of their LumiGuide 3D Device Guidance system for light-based navigation.
Breast cancer – including aggressive variants – are surprisingly common in younger women, a new study shows. The findings strengthen the case for earlier, risk-tailored screening, the authors say.
Dunlee will present its portfolio of integrated imaging solutions at RSNA 2025 in Chicago, Illinois. The company will demonstrate technologies for diagnostic and therapeutic imaging applications, including developments in Ultra-High Resolution and Photon Counting CT (UHR & PCCT), components for MRI-guided breast biopsies, and onboard imaging systems for radiation therapy.
In a CT scan of the lungs, accidentally inhaled objects can be extremely subtle and easy to miss, even for experienced clinicians. A new AI model acts as a “second set of eyes” to help detect hidden cases.
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 environmental footprint, the technology continues to face scepticism – not from regulators or patients, but from radiologists themselves.
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…
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…
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 can fix this.
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).
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.
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…
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.
RadNet's DeepHealth unit has completed its acquisition of iCAD, adding established AI breast cancer detection capabilities to its diagnostic platform.
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.
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.
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,…
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.
