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Back to main AI Blog

machine learning

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

Using deep learning to detect and segment meningiomas

Kai Roman Laukamp March 2019

These days, selling a medical product or software solution without bringing up ‘artificial intelligence’ seems to be an almost impossible task. Hence, a certain mistrust by most radiologists is understandable and, sometimes, even warranted. Proof provided by well-conducted studies is, therefore, necessary to sort out the technical approaches and applications that could be truly useful, as well as trustworthy, for

Read More →

Should AI be seen as a threat or an opportunity in medical imaging?

European Radiology Experimental March 2019

The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors define basic terms in AI, such as “machine learning” and “deep learning”, as well as provide an analysis on the integration of AI into radiology. Furthermore, the authors look at the increasing frequency of publications

Read More →

The Rise of Augmented Radiology as an enabler to achieve Precision Health

ECR 2019 AIX February 2019

The field of medical imaging has witnessed a revolution thanks to the digital transformation, innovation and availability of advanced clinical applications. New imaging techniques are helping radiologists, oncologists, and other diagnosticians with greater anatomical and clinical details, highlighting the need for fast access to imaging reports and results, evidence-based collaborative peer review and collaboration, and predictive intelligence. A pioneer in

Read More →

Convolutional neural networks: an overview and application in radiology

Insights into Imaging February 2019

Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become dominant in various computer vision tasks. It is designed to automatically and adaptively learn spatial hierarchies of features through backpropagation by using multiple building blocks, such as convolution layers, pooling layers, and fully connected layers. This review article

Read More →

Big data, artificial intelligence, and structured reporting

Daniel Pinto dos Santos February 2019

Imagine you wanted to teach a baby to differentiate a ball from a dog. How would you do that? Intuitively it would make sense to repeatedly point at them while naming each object accordingly. But how about, e.g. if instead of saying “dog” or “ball”, you would only name the specific breed of dog without using the word “dog”? Maybe

Read More →

How will Artificial Intelligence impact the field of radiology?

European Radiology February 2019

The topic of artificial intelligence (AI) has become one of the main points of discussion in the field of radiology and medicine. Through discussions on various cases of the use of AI in healthcare, the importance of training radiologists in emerging technologies, and potential threats to jobs, the authors develop an overall picture of how AI fits into the current

Read More →

Using deep learning to detect and segment meningiomas

Kai Roman Laukamp March 2019

These days, selling a medical product or software solution without bringing up ‘artificial intelligence’ seems to be an almost impossible task. Hence, a certain mistrust by most radiologists is understandable and, sometimes, even warranted. Proof provided by well-conducted studies is, therefore, necessary to sort out the technical approaches and applications that could be truly useful, as well as trustworthy, for

Read More →

Should AI be seen as a threat or an opportunity in medical imaging?

European Radiology Experimental March 2019

The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors define basic terms in AI, such as “machine learning” and “deep learning”, as well as provide an analysis on the integration of AI into radiology. Furthermore, the authors look at the increasing frequency of publications

Read More →

The Rise of Augmented Radiology as an enabler to achieve Precision Health

ECR 2019 AIX February 2019

The field of medical imaging has witnessed a revolution thanks to the digital transformation, innovation and availability of advanced clinical applications. New imaging techniques are helping radiologists, oncologists, and other diagnosticians with greater anatomical and clinical details, highlighting the need for fast access to imaging reports and results, evidence-based collaborative peer review and collaboration, and predictive intelligence. A pioneer in

Read More →

Convolutional neural networks: an overview and application in radiology

Insights into Imaging February 2019

Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become dominant in various computer vision tasks. It is designed to automatically and adaptively learn spatial hierarchies of features through backpropagation by using multiple building blocks, such as convolution layers, pooling layers, and fully connected layers. This review article

Read More →

Big data, artificial intelligence, and structured reporting

Daniel Pinto dos Santos February 2019

Imagine you wanted to teach a baby to differentiate a ball from a dog. How would you do that? Intuitively it would make sense to repeatedly point at them while naming each object accordingly. But how about, e.g. if instead of saying “dog” or “ball”, you would only name the specific breed of dog without using the word “dog”? Maybe

Read More →

How will Artificial Intelligence impact the field of radiology?

European Radiology February 2019

The topic of artificial intelligence (AI) has become one of the main points of discussion in the field of radiology and medicine. Through discussions on various cases of the use of AI in healthcare, the importance of training radiologists in emerging technologies, and potential threats to jobs, the authors develop an overall picture of how AI fits into the current

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
  • 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.