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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.

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Latest posts

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

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

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?

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

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

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

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

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

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

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 →

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

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

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?

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

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

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

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

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

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

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.

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.

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.

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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.

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.

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.