🤖📚 OpenRad: A Curated Repository of Open-Access AI Models for Radiology The rapid growth of artificial intelligence in radiology has created unprecedented opportunities for research and clinical innovation, but also challenges in accessibility, reproducibility, and model validation.

⏪ The European Radiology Abdomen Editorial Team at ESGAR 2026 in Montpellier! 🧡

🩺💬 Pre-Procedural Disclosure of Potential Diagnostic Errors in Radiology: Public Perspectives in the Netherlands

⏪ Our Editorial Team promoting European Radiology Cardiovascular and Thoracic! 📌 ESTI 2026, Salzburg ❤️

Concurrent AI-human interaction in prostate cancer MRI interpretation - more hype than help? The authors evaluated a commercial AI system as a concurrent decision-support tool for clinical significant prostate cancer detection (Andrea Ponsiglione et al.) buff.ly/BHnFesQ

🖥️⚡ Virtual Non-Contrast Images from Dual-Layer Spectral CT: Are We Ready to Replace True Non-Contrast CT?

Rib fractures are common yet time-consuming to diagnose. This study explores automation via multiplanar reconstruction and intelligent detection algorithms to accelerate and optimise clinical assessment (Donglin Wen et al.) buff.ly/eiybzQN

📣 ESR Essentials: Imaging of Melanoma Melanoma remains one of the most aggressive skin malignancies, making accurate imaging essential for staging, treatment planning, and follow-up.

🤖 What’s the difference between a robot used in interventional radiology and a typical machine, and could robots replace interventional radiologists? 🧑‍⚕️ ESR Innovation in Focus: Robotics applications for interventional radiology

The European Society of Radiology (ESR) is excited to announce the 2025 Impact Factor (IF) for European Radiology, Insights into Imaging, and European Radiology Experimental.

Low back pain is a leading cause of disability, with radicular symptoms often resistant to conservative treatments. While fluoroscopy and CT play a pivotal role in procedural accuracy, direct comparisons of clinical outcomes remain limited.

Radiogenomics: more is not always better 🧬 🤖 In imaging AI, larger datasets are often assumed to produce better models. But in radiogenomics, data quantity may not compensate for noisy labels. buff.ly/CNIs7Dk (Diana Ivonne Rodríguez Sánchez et al.)

📰 ESR Innovation in Focus: Robotics applications for interventional radiology 💡 link.springer.com/article/10.1... (Stavros Spiliopoulos, Lorenzo Patrone, Maarten Smits, Marco van Strijen & Pierleone Lucatelli)

Chronic pulmonary embolism and chronic thromboembolic pulmonary hypertension are challenging to diagnose, with delayed detection increasing mortality. The authors evaluated the performance of a CNN in identifying these conditions from CTPA-derived maximum intensity projection images

AI in radiology: augmentation, substitution, or something in between? 📈 AI is often framed as a tool to “augment” radiologists, but the economic reality may be more complex.

The authors used deep learning to generate synthetic, resembling in appearance, iodine-enhanced, mammograms from low-energy contrast-enhanced mammography images (Konstantinos Zormpas-Petridis et al.) buff.ly/Xu8UQs2

Can spectral CT help us detect bowel ischemia more clearly? 👀⚡ Bowel ischemia is difficult to diagnose, especially when findings are subtle and only a portal venous phase CT is available in the emergency setting.

✈️ European Radiology Editor-in-Chief Prof. Hamm promoting the ESR Journals in China!

Does transradial access increase radiation exposure in aneurysm treatment? 🧠 ✋

🤖 Why is interventional radiology different from other aspects of radiology in terms of the application of AI, and where can it be applied within the workflow? 📋 ESR Innovation in Focus: AI in interventional radiology: existing applications and ongoing research

Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the developing brain and in identifying congenital defects and minor developmental malformations. Despite its early stage, MRI radiomics offers a new, data-driven lens to evaluate fetal brain development.

Large language models in radiology: reads like a novel, but are they reliable? 📖 🤔 Large language models hold real promise for reducing reporting burden, particularly in time-critical workflows such as stroke thrombectomy. buff.ly/6VQlZCu

📰 ESR Innovation in Focus: AI in interventional radiology: existing applications and ongoing research 💡 buff.ly/xZfdMJX (Irene Bargellini, Laetitia Saccenti, Leonor Cerdá Alberich, Merel Huisman & Pierleone Lucatelli)

Using radiomics to compute quantitative imaging features may reveal information beyond standard MRI metrics.

Lung screening AI is already on the shelf, but does it actually cover the full nodule-management checklist? 🫁🤖✅ This study systematically evaluated 16 CE-marked AI products for CT lung cancer screening against major nodule-management recommendations, including Lung-RADS 2022, BTS, EUPS, and ESTI.

CT-guided biopsies are needed to diagnose bone legions, but can sometimes be challenging. The authors evaluated the feasibility and usefulness of PCCT-guided bone biopsies, focusing on real-time bone marrow oedema mapping to optimise diagnostic yield (B. Alvarez de Sierra Garcia et al.)

Can “freezing” a tiny umbilical endometriosis nodule melt away years of cyclical pain? ❄️🩻

Europe is scanning more brains than ever, but are we choosing wisely? 🧠🩻📈 An extensive ESNR 'Choosing Wisely' analysis of Eurostat and OECD data across 29 European countries from 2015 to 2022 revealed a massive 40.8% increase in per capita CT exams and a 47.7% jump in MRI utilization.

🚪Opening up a multitude of exciting clinical and research applications, and a tool that can advance PET technology – find out more about long-axial FOV PET/CT below 👇 ESR Innovation in Focus: Long-axial field-of-view PET/CT buff.ly/2ik1SW1

Collateral circulation is a key determinant of functional outcome after large vessel occlusion and informs thrombectomy decisions, but collateral grading is rater-dependent and error-prone.

If contrast agents had a “gentle giant” category, would ultrasound microbubbles be in it? 🫧🩻

Can AI make CT scan planning smarter before the first slice is even acquired? Researchers developed TOPOS, a deep learning model trained on over 1,100 patient exams to automatically segment 26 anatomical target structures directly from CT scout views, to facilitate automated scan coverage planning.

📰 ESR Innovation in Focus: Long-axial field-of-view PET/CT 💡 link.springer.com/article/10.1... (Kevin J. Chung, Lorenzo Nardo, Guobao Wang & Clemens Mingels)

Radiogenomics promises noninvasive tumour profiling, however the extent to which imaging morphology reflects tumour lineage versus host-organ milieu remains unclear.

🚨 Radiological Classification of Non-Anastomotic Biliary Strictures After Liver Transplantation Non-anastomotic biliary strictures remain one of the most challenging biliary complications after liver transplantation, often associated with graft dysfunction and complex post-transplant management.

Pulmonary arterial hypertension is a severe complication of systemic lupus erythematosus. Current screening methods often miss early vascular changes.

🫁📊 CT-Based Lung Ventilation Metrics: Establishing Reference Ranges in Healthy Individuals Quantitative CT-based ventilation analysis is emerging as a promising tool for regional assessment of pulmonary function beyond conventional spirometry.

🧠🔬 PSMA PET: The Answer to MRI-Occult Prostate Cancer… or Another Mirage?

❓ How photon technology works, and will it change the way we use computed tomography? 👇 ESR Innovation in Focus: photon-counting detector CT buff.ly/YuRvEft (Victor Mergen, Hatem Alkadhi, Matthias Eberhard, Konstantin Nikolaou & Andreas M. Hötker)

Current liver T1 mapping methods present restricted liver coverage, take long acquisition times, and mostly exclude the T1 bias induced by fat and iron effects. The authors evaluated the clinical feasibility of an accelerated water T1 mapping method for fibrosis tissue assessment

✈️ Last week saw our Albert L. Baert Editorial Fellows in Berlin for a week of on-site training with European Radiology Editor-in-Chief Prof. Bernd Hamm. Congratulations! 👏

T1-hypointense “black hole” lesions are recognized markers of disease severity in multiple sclerosis (MS), yet their routine quantification remains limited due to the lack of reliable automated methods.

🤖📉 The Augmentation Myth: AI, Economics, and Workforce Substitution in Radiology As #AI continues to reshape radiology, discussions increasingly extend beyond diagnostic #performance toward broader questions of economics, workforce transformation, and automation.

📰 ESR Innovation in Focus: photon-counting detector CT 💡 link.springer.com/article/10.1... (Victor Mergen, Hatem Alkadhi, Matthias Eberhard, Konstantin Nikolaou & Andreas M. Hötker)

The authors compared three customised nnU-Net models for automated detection and blood clot volume quantification of acute pulmonary embolism on CTPA, and explored the association between blood clot volume and clinical outcome (Ezio Lanza et al.) buff.ly/wEN5Q76

🎬 Join Ferdia Gallagher and Konstantin Nikolaou as they introduce Innovation in Focus – a new series in European Radiology discussing innovative and exciting developments in radiology. 💡

Radiomics is a growing field in medical imaging that transforms images into high-dimensional quantitative data, offering insights into disease diagnosis, prognosis, and treatment planning.

🦵 💊 Genicular artery embolization for knee osteoarthritis: is placebo effect at play? Genicular artery embolization (GAE) has emerged as a promising minimally invasive option for patients with knee osteoarthritis (KOA), targeting synovial hypervascularity as a potential driver of pain.

☢️ 🧠 Rethinking diagnostic reference levels in interventional neuroradiology Radiation protection isn't an add-on in interventional neuroradiology, it is integral to the quality of care we deliver.

❤️ European Radiology Cardiovascular and Thoracic Deputy Editor ➡️ Mark O. Wielpütz ⭐ Dr. Mark O. Wielpütz is chair and director of the Department of Diagnostic Radiology and Neuroradiology at University Medicine Greifswald.