medical imaging

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

The role of generative adversarial networks in brain MRI

Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different modalities of an image, as well as provide valuable insights into a specific disease. The frequent sequences of MRI are T1-weighted and T2- weighted scans. The popularity of artificial intelligence (AI) for brain MRI is on the

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Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence (AI) in medical imaging practice on the continent of Africa. Participants of this study consisted solely of radiographers working in Africa between March and August 2020. The study demonstrated a positive outlook regarding AI in relation to

Read More →

Deep learning workflow in radiology: how to get started

In the past decade, deep learning architectures, which essentially consist of neural networks with numerous layers, have emerged as a dominant class of machine learning algorithms. Owing to the availability of larger datasets in radiology and access to high-performance graphical processing units, deep learning has provided state-of-the-art performance for various computer vision tasks such as lesion detection, segmentation, classification, monitoring,

Read More →

AI power is real but muzzled by lack of data sharing and standardization

AI adds a new dimension to brain and abdominal imaging in a number of clinical scenarios, but lack of data sharing as well as reproducibility and standardization issues must be addressed, top European radiologists explained during the ESR AI Premium event. Detecting the invisible and the visible In the brain, AI can help to detect things that are invisible to

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 →

European radiology needs AI luminaries

Medical imaging AI is progressing fast, boosted by an industrious community and technology advances. The market, however, is not big enough to support all the companies involved in the field and European radiologists still lack proper training, according to Simon Harris, principal analyst at Signify Research. What are the current market trends? The technology is starting to mature. It is

Read More →

Medical imaging AI: the bubble will break in 2-3 years

The buzz around artificial intelligence (AI) in medical imaging has turned into a boom, which is turning into a bubble. When the bubble breaks, start-ups better have a solid sales strategy, according to leading Spanish researcher in quantification. Deepening gap between funding and profit Funding in start-ups who develop AI for medical imaging is increasingly moving away from actual value

Read More →

The role of generative adversarial networks in brain MRI

Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different modalities of an image, as well as provide valuable insights into a specific disease. The frequent sequences of MRI are T1-weighted and T2- weighted scans. The popularity of artificial intelligence (AI) for brain MRI is on the

Read More →

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence (AI) in medical imaging practice on the continent of Africa. Participants of this study consisted solely of radiographers working in Africa between March and August 2020. The study demonstrated a positive outlook regarding AI in relation to

Read More →

Deep learning workflow in radiology: how to get started

In the past decade, deep learning architectures, which essentially consist of neural networks with numerous layers, have emerged as a dominant class of machine learning algorithms. Owing to the availability of larger datasets in radiology and access to high-performance graphical processing units, deep learning has provided state-of-the-art performance for various computer vision tasks such as lesion detection, segmentation, classification, monitoring,

Read More →

AI power is real but muzzled by lack of data sharing and standardization

AI adds a new dimension to brain and abdominal imaging in a number of clinical scenarios, but lack of data sharing as well as reproducibility and standardization issues must be addressed, top European radiologists explained during the ESR AI Premium event. Detecting the invisible and the visible In the brain, AI can help to detect things that are invisible to

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 →

European radiology needs AI luminaries

Medical imaging AI is progressing fast, boosted by an industrious community and technology advances. The market, however, is not big enough to support all the companies involved in the field and European radiologists still lack proper training, according to Simon Harris, principal analyst at Signify Research. What are the current market trends? The technology is starting to mature. It is

Read More →

Medical imaging AI: the bubble will break in 2-3 years

The buzz around artificial intelligence (AI) in medical imaging has turned into a boom, which is turning into a bubble. When the bubble breaks, start-ups better have a solid sales strategy, according to leading Spanish researcher in quantification. Deepening gap between funding and profit Funding in start-ups who develop AI for medical imaging is increasingly moving away from actual value

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 4
  • Content e-mails for all ESR journals
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

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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 3 ESR journals 4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 0

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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

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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.