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.
This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.
Most used hashtags:
Peering into the future of radiology, we find ourselves at an exciting crossroads. The past year has seen language-based foundation models disrupt the status quo, offering a tantalising glimpse into new possibilities for data accessibility. Yet we still face a huge challenge: a wealth of valuable data remains locked away in free-text reports. But what if we could unlock this
Just over a year ago, the release of ChatGPT marked a turning point in AI and language processing, sparking widespread excitement for Large Language Models (LLMs) for diverse use cases across various domains. Back then, we noticed friends using ChatGPT for medical text simplification, yet, as medical laypersons, they couldn’t verify the accuracy of the simplified text. Anticipating its imminent adoption by patients,
Although structured reporting (SR) is recommended in the field of radiology compared to free-text reporting (FTR), the use of SR still experiences obstacles due to insufficient integration of speech recognition. Furthermore, SR templates are time-consuming as they have to be completed using a traditional mouse and keyboard. New technologies within the realm of artificial intelligence, such as natural language processing
As computed tomography (CT) sees an increase in utilization, inappropriate imaging has been seen as a significant concern; however, manual justification audits of radiology referrals are extremely time-consuming and carry a heavy financial burden. Therefore, the authors of this study aimed to retrospectively audit the justification of brain CT referrals by using natural language processing (NLP) and traditional machine learning
We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous amount of warranted excitement for disease detection, characterization, and quantification with AI algorithms, less rousing but still valuable efforts can and should be made to improve operational efficiency and even reduce the growing problem of
This week in artificial intelligence (AI) news, we take a look at a programme that learns chess through listening to real match commentary, the UK’s National Health Service (NHS) making big investments in AI, and the development of AI tools for reading sign language. Researchers at University College London have proposed a new algorithm, which allows the programme to learn
Peering into the future of radiology, we find ourselves at an exciting crossroads. The past year has seen language-based foundation models disrupt the status quo, offering a tantalising glimpse into new possibilities for data accessibility. Yet we still face a huge challenge: a wealth of valuable data remains locked away in free-text reports. But what if we could unlock this
Just over a year ago, the release of ChatGPT marked a turning point in AI and language processing, sparking widespread excitement for Large Language Models (LLMs) for diverse use cases across various domains. Back then, we noticed friends using ChatGPT for medical text simplification, yet, as medical laypersons, they couldn’t verify the accuracy of the simplified text. Anticipating its imminent adoption by patients,
Although structured reporting (SR) is recommended in the field of radiology compared to free-text reporting (FTR), the use of SR still experiences obstacles due to insufficient integration of speech recognition. Furthermore, SR templates are time-consuming as they have to be completed using a traditional mouse and keyboard. New technologies within the realm of artificial intelligence, such as natural language processing
As computed tomography (CT) sees an increase in utilization, inappropriate imaging has been seen as a significant concern; however, manual justification audits of radiology referrals are extremely time-consuming and carry a heavy financial burden. Therefore, the authors of this study aimed to retrospectively audit the justification of brain CT referrals by using natural language processing (NLP) and traditional machine learning
We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous amount of warranted excitement for disease detection, characterization, and quantification with AI algorithms, less rousing but still valuable efforts can and should be made to improve operational efficiency and even reduce the growing problem of
This week in artificial intelligence (AI) news, we take a look at a programme that learns chess through listening to real match commentary, the UK’s National Health Service (NHS) making big investments in AI, and the development of AI tools for reading sign language. Researchers at University College London have proposed a new algorithm, which allows the programme to learn
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 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.