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:
The future will always be just that…until it becomes the present. That is especially true when the future involves science. What if science fiction has a way of turning – suddenly – into scientific fact? Like flying machines and spacecraft, one day they existed only in theory, and the next, they became a reality. At the annual meeting of the
The aim of this study was to develop a supervised machine learning (ML) algorithm that would use diffusion-weighted imaging-derived radiomic features to predict median overall survival in patients with pancreatic ductal adenocarcinoma. Based on the evaluation of 132 patients, it was determined that the use of ML allowed the prediction of overall survival with high diagnostic accuracy. Key points Pancreatic
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 study integrated the clinical data and radiomics signature generated by a support vector machine to establish a radiomics nomogram for prediction of induction chemotherapy response and survival in nasopharyngeal carcinoma patients. The results proved that multiparametric MRI-based radiomics could be helpful for personalized risk stratification in patients receiving induction chemotherapy. Key points MRI Radiomics can predict IC response and
We recently spoke with Jörg Aumüller, who leads the Digital Health global marketing team at Siemens Healthineers. In our interview, we touched on the issue of growing medical data, how companies can stay ahead of legal and regulatory challenges, new roles and professions being created as a result of the introduction of AI tools and technology, and how these tools
Across all medical disciplines, artificial intelligence (AI) and machine learning will transform medicine beyond most people’s imaginations. Algorithms that help evaluate radiological images are just the beginning. AI could become an indispensable tool across all branches of medicine. From virtual assistants in the living room to intelligent investment algorithms and from software-based traffic control to autonomous driving, there is no
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
This week in artificial intelligence (AI) news, we take a look at AI solving the infamous Rubik’s cube, Africa’s future role in the global AI community, and the importance of radiological professionals being trained in AI in order to assess new tools and technologies coming to market. It’s one achievement to programme a computer to solve a Rubik’s cube, but
Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As of today, a quick PubMed search for radiomics, imaging biomarkers or radiogenomics reveals well over 4,000 articles. However, somewhat surprisingly, given this amount of published research, outside of academic literature there is no widespread clinical application of
The first meeting of the European Society of Radiology (ESR) dedicated to Artificial Intelligence (AI) gathered a large panel of delegates from different counties and backgrounds, yet they all had one thing in common: during their education, they all used old books and didactical procedures, which, in most cases, are out-dated. AI could help boost education in many fields, including
The future will always be just that…until it becomes the present. That is especially true when the future involves science. What if science fiction has a way of turning – suddenly – into scientific fact? Like flying machines and spacecraft, one day they existed only in theory, and the next, they became a reality. At the annual meeting of the
The aim of this study was to develop a supervised machine learning (ML) algorithm that would use diffusion-weighted imaging-derived radiomic features to predict median overall survival in patients with pancreatic ductal adenocarcinoma. Based on the evaluation of 132 patients, it was determined that the use of ML allowed the prediction of overall survival with high diagnostic accuracy. Key points Pancreatic
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 study integrated the clinical data and radiomics signature generated by a support vector machine to establish a radiomics nomogram for prediction of induction chemotherapy response and survival in nasopharyngeal carcinoma patients. The results proved that multiparametric MRI-based radiomics could be helpful for personalized risk stratification in patients receiving induction chemotherapy. Key points MRI Radiomics can predict IC response and
We recently spoke with Jörg Aumüller, who leads the Digital Health global marketing team at Siemens Healthineers. In our interview, we touched on the issue of growing medical data, how companies can stay ahead of legal and regulatory challenges, new roles and professions being created as a result of the introduction of AI tools and technology, and how these tools
Across all medical disciplines, artificial intelligence (AI) and machine learning will transform medicine beyond most people’s imaginations. Algorithms that help evaluate radiological images are just the beginning. AI could become an indispensable tool across all branches of medicine. From virtual assistants in the living room to intelligent investment algorithms and from software-based traffic control to autonomous driving, there is no
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
This week in artificial intelligence (AI) news, we take a look at AI solving the infamous Rubik’s cube, Africa’s future role in the global AI community, and the importance of radiological professionals being trained in AI in order to assess new tools and technologies coming to market. It’s one achievement to programme a computer to solve a Rubik’s cube, but
Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As of today, a quick PubMed search for radiomics, imaging biomarkers or radiogenomics reveals well over 4,000 articles. However, somewhat surprisingly, given this amount of published research, outside of academic literature there is no widespread clinical application of
The first meeting of the European Society of Radiology (ESR) dedicated to Artificial Intelligence (AI) gathered a large panel of delegates from different counties and backgrounds, yet they all had one thing in common: during their education, they all used old books and didactical procedures, which, in most cases, are out-dated. AI could help boost education in many fields, including
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 2024:
Provided that ESR 2023 membership is activated and approved by August 31, 2023.
Reduced registration fees for ECR 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.