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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:

deep learningmachine learningmriradiomicsx-ray computed tomographyinterviewai newsmammographyCOVID-19breast cancerneural networksdiagnostic imagingtomographyworkflowradiographyMDCT

Latest posts

Novel reporting workflow for automated integration of AI results into structured radiology reports

Insights into Imaging June 2024

Although artificial intelligence (AI) shows great potential to help radiologists in their daily clinical routine, integrating AI into the radiology workflow is often lacking, underutilizing its full potential. Therefore, this study aimed to develop a new reporting pipeline enabling automated pre-population of structured reports with results provided by commercially available AI tools. The authors successfully demonstrated that the AI to

Read More →

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

Mohammad Hosein Rezazade Mehrizi 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

Read More →

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

Elmar Kotter February 2021

We are living in the hype about artificial intelligence (AI) in radiology. Many publications have proven that AI is able to support image analysis with its excellent pattern recognition. It has the potential to augment the radiologist by helping to analyse the increasingly complex data we are confronted with in our daily work. However, to make AI happen in our

Read More →

The cost of AI in radiology: is it really worth it?

Melisande Rouger November 2019

How much do you need to spend to use artificial intelligence (AI) in radiology? Between software, hardware and infrastructure, expenses can add up quickly. And without a reimbursement scheme, it takes more than just money to advance the field. One last price to pay could well be AI’s impact on the environment, as training a single algorithm emits a significant

Read More →

AI is a means, not a goal

Melisande Rouger October 2019

Artificial intelligence (AI) software solutions developed for radiology are increasingly focused on answering precise clinical questions, rather than just detecting lesions. This is the most noticeable trend in medical imaging AI, which continues to bring new products to the market with clockwork regularity. Whether it feeds on machine or deep learning, AI in radiology really boils down to one thing:

Read More →

What the increasing presence of AI means for radiographers

Alex Vogel September 2019

In an age of uncertainty with the arrival of artificial intelligence (AI) tools and technologies in the healthcare field, many in the industry question how the addition of AI will impact their careers. One particular area is not immune to these changes: radiography. We spoke with Dr. Nick Woznitza, a reporting radiographer at Homerton University Hospital and a clinical academic

Read More →

Zooming in on AI-Based Image Interpretation

ESR June 2019

While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting the course of cancer from imaging data could become a part of the clinical routine in the next few years. Many experts believe that the increasing use of AI in radiology will fundamentally change the

Read More →

AI can reduce reading times and improve reader performance in breast and chest

Melisande Rouger May 2019

Tools using artificial intelligence (AI) for medical imaging can help detect and classify lesions in an increasing number of clinical applications. In breast and chest imaging, algorithms can now significantly expedite workflow and improve cancer risk prediction, two experts explained during the ESR AI Premium meeting earlier this month in Barcelona, Spain. Breast cancer screening Breast cancer (BC) screening with

Read More →

AI-assisted Multi-Organ Image Interpretation

ESR May 2019

Advertorial The broader implementation of artificial intelligence (AI) will be based on versatile systems that can be seamlessly integrated into existing workflows and IT architectures. Assessing multiple anatomical structures and organs on a chest CT more quickly and precisely would be one strategy to make AI support a self-evident aspect of image interpretation. A crucial prerequisite for advancing the implementation

Read More →

Responsible introduction of AI will help unleash its full potential

Melisande Rouger March 2019

A myriad of tools is being created that use AI for medical imaging, but the community needs to be sure that the technology also works in clinical practice. This is only possible if AI is introduced in a responsible way, according to Wiro Niessen, a professor in Biomedical Image Analysis at Erasmus MC, Rotterdam and Delft University of Technology, and

Read More →

Novel reporting workflow for automated integration of AI results into structured radiology reports

Insights into Imaging June 2024

Although artificial intelligence (AI) shows great potential to help radiologists in their daily clinical routine, integrating AI into the radiology workflow is often lacking, underutilizing its full potential. Therefore, this study aimed to develop a new reporting pipeline enabling automated pre-population of structured reports with results provided by commercially available AI tools. The authors successfully demonstrated that the AI to

Read More →

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

Read More →

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

Elmar Kotter February 2021

We are living in the hype about artificial intelligence (AI) in radiology. Many publications have proven that AI is able to support image analysis with its excellent pattern recognition. It has the potential to augment the radiologist by helping to analyse the increasingly complex data we are confronted with in our daily work. However, to make AI happen in our

Read More →

The cost of AI in radiology: is it really worth it?

Melisande Rouger November 2019

How much do you need to spend to use artificial intelligence (AI) in radiology? Between software, hardware and infrastructure, expenses can add up quickly. And without a reimbursement scheme, it takes more than just money to advance the field. One last price to pay could well be AI’s impact on the environment, as training a single algorithm emits a significant

Read More →

AI is a means, not a goal

Melisande Rouger October 2019

Artificial intelligence (AI) software solutions developed for radiology are increasingly focused on answering precise clinical questions, rather than just detecting lesions. This is the most noticeable trend in medical imaging AI, which continues to bring new products to the market with clockwork regularity. Whether it feeds on machine or deep learning, AI in radiology really boils down to one thing:

Read More →

What the increasing presence of AI means for radiographers

Alex Vogel September 2019

In an age of uncertainty with the arrival of artificial intelligence (AI) tools and technologies in the healthcare field, many in the industry question how the addition of AI will impact their careers. One particular area is not immune to these changes: radiography. We spoke with Dr. Nick Woznitza, a reporting radiographer at Homerton University Hospital and a clinical academic

Read More →

Zooming in on AI-Based Image Interpretation

ESR June 2019

While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting the course of cancer from imaging data could become a part of the clinical routine in the next few years. Many experts believe that the increasing use of AI in radiology will fundamentally change the

Read More →

AI can reduce reading times and improve reader performance in breast and chest

Melisande Rouger May 2019

Tools using artificial intelligence (AI) for medical imaging can help detect and classify lesions in an increasing number of clinical applications. In breast and chest imaging, algorithms can now significantly expedite workflow and improve cancer risk prediction, two experts explained during the ESR AI Premium meeting earlier this month in Barcelona, Spain. Breast cancer screening Breast cancer (BC) screening with

Read More →

AI-assisted Multi-Organ Image Interpretation

ESR May 2019

Advertorial The broader implementation of artificial intelligence (AI) will be based on versatile systems that can be seamlessly integrated into existing workflows and IT architectures. Assessing multiple anatomical structures and organs on a chest CT more quickly and precisely would be one strategy to make AI support a self-evident aspect of image interpretation. A crucial prerequisite for advancing the implementation

Read More →

Responsible introduction of AI will help unleash its full potential

Melisande Rouger March 2019

A myriad of tools is being created that use AI for medical imaging, but the community needs to be sure that the technology also works in clinical practice. This is only possible if AI is introduced in a responsible way, according to Wiro Niessen, a professor in Biomedical Image Analysis at Erasmus MC, Rotterdam and Delft University of Technology, and

Read More →

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
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology 
  • Content e-mails for all ESR journals4
  • 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
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology
  • Content e-mails for all 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 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.

Reduced registration fees for ECR 2026:
Provided that ESR 2025 membership is activated and approved by August 31, 2025.

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.