News • Pediatric Radiology
Medical imaging raises blood cancer risk in young patients
Study of 3.7 million children reveals small but significant increased risk of blood cancers from medical imaging radiation, with CT scans posing highest risk
News • Machine learning analysis
‘Two-for-one’ screening uses mammograms to predict heart disease in women
Using AI to help detect one of the leading killers of women worldwide: A new machine learning model can successfully predict heart disease risk in women by analysing mammograms.
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 can fix this.
News • Educational and research collaboration
Ultrasound and 3D planning to enhance surgical training
Imaging specialist Fujifilm Healthcare Europe and the research and training institute IRCAD France have announced a collaboration focused on surgical education and research programs.
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 • 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, was presented at the European Society of Cardiology's Cardio-Oncology Conference in Florence in June.
News • Optical technique
AI-assisted autofluorescence imaging to early detect colorectal cancer
An advanced imaging method that uses the natural glow of tissues could help detect subtle differences in the tissue’s biochemistry, offering a way to earlier detect colorectal cancer via endoscopy.
News • Cardiology congress presence
New AI-powered solutions for cardiac ultrasound at ESC 2025
New AI-powered solutions for cardiac ultrasound: Italian medical imaging specialist Esaote will be present at the European Society of Cardiology (ESC) Congress 2025, which starts today (29th August) in Madrid.
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 • Preventing maternal death
CT-based indicator helps predict life-threatening postpartum bleeding
Postpartum hemorrhage is a leading cause of maternal death. A new method could help predict which women experiencing severe bleeding after giving birth most likely need life-saving interventions.
Henkjan Huisman
Better and more affordable care through medical imaging AI
Henkjan Huisman has been appointed Professor of AI Guided Imaging at Radboud UMC/Radboud University. With a focus on AI applications in medical imaging, his goal is to provide better and more affordable care.
News • Endoscopic magnetometer
Finding cancer with diamond sensors
Researchers report they have built a new non-toxic and non-radioactive handheld device that uses the unique properties of diamonds to diagnose metastasized breast cancer.
News • Breast cancer screening
Mammography: Hybrid reading to overcome AI overconfidence
Mammography image interpretation AI models are unreliable – but so are human readers. A new hybrid strategy could reduce radiologist workload by 38% without compromising diagnostic efficacy.
News • Vascular disease assessment
New ultrasound technique to predict aneurysm rupture
Using ultrasound imaging, researchers measure the wall thickness of the aorta from within a patient's body, to predict with higher accuracy whether an aneurysm will rupture or not.
News • Nasopharyngeal carcinoma detection
Virtual MRI for contrast-free NPC tumour imaging
Gadolinium-based contrast agents enhance visibility but also pose a significant health risk. A new AI-powered virtual MRI imaging technique is designed to offer a safer diagnostic approach.
News • Mammogram assessment
AI can replace second radiologist in breast cancer screening, study finds
More clinically relevant tumors detected at an earlier stage and at lower costs: New research finds that AI can replace the second radiologist in the Dutch breast cancer screening program.
News • Physics-driven framework
Quantum mechanics to remove noise from medical images
Medical imaging methods are often affected by background noise, which can obscure fine anatomical details. A new approach to solve this problem draws inspiration from quantum mechanics.
News • Algorithms put to the test
Diffusion MRI denoising: do sharper images equal better diagnostics?
Denoising of diffusion-weighted MRI data creates sharper images – but does it actually lead to better diagnostic results? Researchers explored the impact of noise removal on detecting abnormalities.
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 • "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 • Neural network screening tool
AI-enhanced ultrasound early detects cardiac amyloidosis
A neural network AI has been trained to detect cardiac amyloidosis from a single echocardiogram video of the heart's apical four-chamber view and differentiate it from similar heart conditions.
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.
News • Research into myocardial fibrosis
How air pollution may damage the heart
Using cardiac MRI, researchers have found that long-term exposure to air pollution is associated with early signs of heart damage, according to a new study.
News • Photoacoustic computed tomography
PACT: AI-assisted edge in breast imaging
A new technique called photoacoustic computed tomography (PACT) offers a breast imaging alternative without the discomfort, high costs, or risk associated with the conventional evaluation methods.
