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.

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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.

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AI Blog

Welcome to the blog on Artificial Intelligence of
the European Society of Radiology

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:

machine learningdeep learningradiomicsmrix-ray computed tomographyai newsCOVID-19mammographyinterviewbreast cancerneural networksdiagnostic imagingtomographyMDCTworkflowradiography

Latest posts

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Patrick Omoumi, Daniel Pinto dos Santos April 2021

Artificial intelligence (AI) has certainly made impressive progress over the past few years. Consequently, many companies have entered the market bombarding radiologists with diagnostic AI tools aiming to help them in their clinical practice. Navigating through this plethora of AI product offerings can be quite challenging at times. How do you know if the marketing claims could hold up in

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Development of MR-based preoperative nomograms predicting DNA copy number subtype in lower grade gliomas with prognostic implication

European Radiology April 2021

The aim of this study was to determine the value of MR-based preoperative nomograms in predicting DNA copy number (CN) subtype in patients with lower grade glioma (LGG). The authors achieved this by retrospectively analyzing the overall survival (OS) data of 170 subjects. They found that the shortest OS was observed in patients with CN2 subtype. This preliminary radiogenomics analysis

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Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique

European Radiology April 2021

The authors of this study aimed to evaluate the image quality of low iodine concentration, dual-energy CT (DECT) combined with a deep learning-based noise reduction technique for pediatric abdominal CT, compared with standard iodine concentration single-energy polychromatic CT (SECT). They were able to determine that low iodine concentration DECT, when combined with deep learning in pediatric abdominal CT, can maintain

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Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance

European Radiology April 2021

In this study, the authors develop a radiomics score using ultrasound images in order to predict thyroid malignancy and to investigate its potential as a complementary tool to improve the performance of risk stratification systems. They found that radiomics was able to help predict malignancy in thyroid nodules in combination with risk stratification systems by improving specificity, accuracy, positive predictive

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Bridging the chasm: Education may turn Early Majority into Early Adopters

Merel Huisman April 2021

A while ago we came up with the idea to investigate the intersection between change management and artificial intelligence (AI) in radiology. We wanted to assess independent predictors for being a so-called ‘early adopter’, inspired by Roger’s Innovation Diffusion theory. An early adopter, coming right after the innovator, is someone who wants to take a risk without getting an immediate

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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

European Radiology April 2021

The purpose of this retrospective study was to evaluate whether initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19. The authors determined, through AI- and radiologist-assessed disease severity scores on CXRs obtained on emergency department (ED) presentation, that they were independent and comparable predictors of adverse outcomes in patients with COVID-19.

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Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

European Radiology March 2021

The purpose of this study was to classify the most common types of plain radiography through the use of a neural network and, subsequently, to validate the network’s performance on internal and external data. The authors used data from a single institution when classifying the most common categories of radiographs. This study resulted in the authors determining that it is

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Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

Mohammad Hosein Rezazade Mehrizi, Peter van Ooijen March 2021

Although a lot of developments are made in the area of artificial intelligence (AI) in radiology and the number of publications is ever-increasing, the adoption in clinical practice still seems to lag behind and is limited to a small number of tools. To analyze this situation, we conducted a so-called technographic study. In this study, we identified 269 AI applications

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How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

European Radiology March 2021

In this study, the authors extended the ComBat approach to provide a harmonization procedure that is applicable to any radiomic feature. They achieve this by combining image standardization with ComBat realignment, thus demonstrating that this could efficiently remove the scanner/protocol effect while preserving the individual variations in phantom, brain, and prostate MR scans. Key points Radiomic feature values obtained using

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The promising possibility of using AI in mammography screening

Kristina Lång March 2021

In two recent publications in European Radiology, we have addressed two, of several, challenges with mammography screening. Firstly, the vast majority of screen exams are normal, which is resource-demanding, especially in the double-reading setting; and secondly, we miss cancer that can be particularly aggressive, later appearing as interval cancer. To understand if artificial intelligence (AI) can identify normal exams, we

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Become A Member Today!

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. 

Check out our different membership options.

If you don’t find a fitting membership send us an email here.

①

Membership

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

  • Reduced registration fees for ECR 1
  • Reduced fees for the European School of Radiology (ESOR) 2
  • Exclusive option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology 4
  • Content e-mails for all ESR journals
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 11 /year

Yes! That is less than €1 per month.
②

Free membership

for radiologists, radiology residents or professionals of allied sciences engaged in practice, teaching or research residing outside Europe as well as individual qualified professionals with an interest in radiology and medical imaging who do not fulfil individual or all requirements for any other ESR membership category & former full members who have retired from all clinical practice
  • Reduced registration fees for ECR 1
  • Free electronic access to the journal European Radiology
  • Content e-mails for all 3 ESR journals 4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 0

The best things in life are free.
③

ESR Friends

For students, company representatives or hospital managers etc.

  • Content e-mails for all 3 ESR journals 4
  • Updates on offers & events through our newsletters

€ 0

Friendship doesn’t cost a thing.
Apply now

The membership type best fitting for you will be selected automatically during the application process.

Footnotes:

01

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.

02
Not all activities included
03
Examination based on the ESR European Training Curriculum (radiologists or radiology residents).
04
European Radiology, Insights into Imaging, European Radiology Experimental.