On this page, you will find interesting information about the ESR, including facts & figures, details about the executive council, our guiding principles, and much more. Discover everything there is to know about the ESR.
You’re interested in learning more about an ESR membership? Well, you’ve come to the right page. Here, you can discover everything about our memberships, including the benefits and prices. We are sure that you’ll find the perfect option for you.
Part of our mission statement is “Advancing you,” and on this page, you’ll find all of our educational programmes, courses, eBooks, partner links, and downloads, etc., designed to enhance your knowledge and advance your career.
Visit this page for more information about our journals: European Radiology, Insights into Imaging, and European Radiology Experimental, as well as information about Eurorad. Additionally, if you’re interested in publishing your own work, you can find details here.
On this page, patients can find crucial information for their journey towards health, as the European Society of Radiology is at the forefront of advancing patient care and ensuring that individuals receive the assistance they need.
Discover information about our research endeavors and how EIBIR is shaping the future of radiology. Additionally, you’ll find news about research grants, statistics, and details about EIBALL and our Biomarker Inventory.
This is the page for all things ECR and our other events. Learn everything about how to register, submit abstracts, attend in person, become an exhibitor, and much more. There is no congress like ECR. Start your journey here.
Learn more about how the ESR is advancing quality and safety standards in radiology, and access all the information on ESR iGuide, Eurosafe Imaging, our clinical audit tool, as well as ESR-led projects and papers.
Here, you can find information about the ESR’s communal approach to radiology, its relations with EU institutions, international organisations, and other stakeholders, as well as European projects and alliances.
This is where you log into the MyUserArea, where you can find all the information regarding your membership, renew it, and book additional packages or register for ECR.
You will have access to a wide range of benefits that can help you advance your career and stay up-to-date with the latest developments in the field of radiology. These benefits include access to educational resources, networking opportunities with other professionals in the field, opportunities to participate in research projects and clinical trials, and access to the latest technologies and techniques.
If you don’t find a fitting membership send us an email here.
for radiologists, radiology residents, professionals of allied sciences (including radiographers/radiological technologists, nuclear medicine physicians, medical physicists, and data scientists) & professionals of allied sciences in training residing within the boundaries of Europe
€ 11 /year
€ 0
For students, company representatives or hospital managers etc.
€ 0
The membership type best fitting for you will be selected automatically during the application process.
Reduced registration fees for ECR 2026:
Provided that ESR 2025 membership is activated and approved by August 31, 2025.
Avoiding Radiology’s Boeing 737 Max moment
Recently, Kemper et al. published an insightful paper on the challenges and opportunities of health technology assessment (HTA) models to evaluate the value, safety, and trustworthiness of radiology computer vision AI (RCVAI) tools used in daily practice.
Formal HTA frameworks are theoretically accurate and help define complex issues, but they are ideal approaches. The real world is messier. Ideal descriptions do not accurately represent what radiology or the tech worlds do when they develop, use, or assess AI.
Today, AI is a riotous environment of hype, rapid innovation, and an as-yet-unrealized promise to revolutionize radiology. The field is exploding, while our budgets and funding are not. Most healthcare organizations fund only technologies which, when assessed, show the most significant value or return on investment. Measuring the value of new healthcare technology is challenging and expensive, and most hospital systems lack resources and appropriate staff with HTA skills to assess AI thoroughly. RCVAI assessment is in a nascent state. We don’t know what RCVAI will be capable of, or what we would like it to do. Assessing RCVAI products is further complicated because they are changing faster than appropriate HTA can be designed and tested. On top of this, one needs to check the assessment tools themselves – how well do they work, and does using them improve health in some manner?
Unfortunately, RCVAI tools today are often brittle and work well in some situations but not others. Without robust assessment and monitoring, we will not know if an RCVAI tool we use is working correctly in our settings.
Suppose we are responsible for an AI tool that is used widely throughout our healthcare system, and that tool makes errors we don’t detect because we didn’t robustly assess the tool correctly at the outset, and aren’t monitoring intensively while it runs in our own setting? Many patients may be harmed, and we may be responsible for the equivalent of our own Boeing 737 Max episodes. This is something we simply cannot risk.
Article: Avoiding Boeing 737 Max moments: ideal versus real radiology AI assessment
Author: J. Raymond Geis
WRITTEN BY
Senior Scientist, ACR Data Science Institute, Reston, Virginia, USA Adjunct Associate Professor of Radiology, National Jewish Health, Denver, Colorado, USA
Latest posts
Avoiding Radiology’s Boeing 737 Max moment
Recently, Kemper et al. published an insightful paper on the challenges and opportunities of health technology assessment (HTA) models to evaluate the value, safety, and
Image biomarkers and explainable AI
Feature extraction and selection in medical data are crucial for radiomics and image biomarker discovery, particularly using convolutional neural networks (CNNs). The process involves feature
On Artificial Intelligence: An interview with Daniel Truhn
Following a fellowship in artificial intelligence (AI) at the Institute of Imaging and Computer Vision at RWTH Aachen, which only solidified his belief in AI’s