COVID-19

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

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

In this retrospective study, the authors aimed to develop a fully automated artificial intelligence (AI) system to quantitatively assess the severity and progression of COVID-19 using thick-section chest CT images. Through their research and work, they were able to determine that a deep learning-based AI system built on thick-section CT imaging can accurately quantify COVID-19-associated abnormalities in the lung and

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AI in the clinical field of lung disease and COVID-19

Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare, especially in the areas of early detection and diagnosis. As lung diseases and the current COVID-19 pandemic become more prevalent around the world, early detection and diagnosis can be literal lifesavers. AI, along with collaborative efforts of the radiological, healthcare industry, and academic communities, are helping to make

Read More →

New algorithm hopes to fight COVID-19 in international effort

The COVID-19 pandemic has seen doctors, healthcare institutions, and companies come together in an international effort to drive innovative solutions in the fight against this disease. AI-powered technology is one path that is being utilized to manage the heavy burden placed on clinicians as their workload increases. Dr. Dorin Comaniciu, who serves as Senior Vice President for Artificial Intelligence and

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First CE-marked image AI solution for chest CT in COVID-19

A group of hospitals (Vrije Universiteit Brussel, UZ Brussel, KU Leuven, UZ Leuven, and UZ Antwerpen), together with icometrix and other organizations, have joined forces in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. The

Read More →

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

In this retrospective study, the authors aimed to develop a fully automated artificial intelligence (AI) system to quantitatively assess the severity and progression of COVID-19 using thick-section chest CT images. Through their research and work, they were able to determine that a deep learning-based AI system built on thick-section CT imaging can accurately quantify COVID-19-associated abnormalities in the lung and

Read More →

AI in the clinical field of lung disease and COVID-19

Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare, especially in the areas of early detection and diagnosis. As lung diseases and the current COVID-19 pandemic become more prevalent around the world, early detection and diagnosis can be literal lifesavers. AI, along with collaborative efforts of the radiological, healthcare industry, and academic communities, are helping to make

Read More →

New algorithm hopes to fight COVID-19 in international effort

The COVID-19 pandemic has seen doctors, healthcare institutions, and companies come together in an international effort to drive innovative solutions in the fight against this disease. AI-powered technology is one path that is being utilized to manage the heavy burden placed on clinicians as their workload increases. Dr. Dorin Comaniciu, who serves as Senior Vice President for Artificial Intelligence and

Read More →

First CE-marked image AI solution for chest CT in COVID-19

A group of hospitals (Vrije Universiteit Brussel, UZ Brussel, KU Leuven, UZ Leuven, and UZ Antwerpen), together with icometrix and other organizations, have joined forces in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. The

Read More →

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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. 

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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
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  • Updates on offers & events through our newsletters
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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

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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.