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pulmonary embolism

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-19interviewmammographybreast cancerdiagnostic imagingneural networkstomographyradiographyMDCTworkflow

Latest posts

Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

Peder Wiklund January 2023

Pulmonary embolism (PE) is a common complication in patients with cancer. A significant number of all PE are diagnosed incidentally (incidental PE, iPE) in CT scans performed for staging or treatment response evaluation. Thousands of CT scans are performed for this indication every year in Halmstad, a regional hospital in Region Halland in southern Sweden, and we anticipate that in

Read More →

How well does a 3D convolutional neural network perform in detecting hypoperfusion?

European Radiology Experimental July 2022

Due to the life-threatening nature of chronic pulmonary embolism (CPE) and how easily it can be misdiagnosed on computed tomography, the authors of this study investigated a three-dimensional convolutional neural network (CNN) algorithm for detecting hypoperfusion in CPE from computed tomography pulmonary angiography (CTPA). This study demonstrated the feasibility of a deep learning algorithm for detecting hypoperfusion in CPE from

Read More →

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

Thomas Weikert November 2020

The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of a major challenge radiologists face nowadays: The swift identification and communication of critical findings in times of sharply rising numbers of examinations performed. A potential auxiliary tool helping us to master the flood of information and separate signal (critical findings) from noise (unremarkable examinations)

Read More →

Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

Peder Wiklund January 2023

Pulmonary embolism (PE) is a common complication in patients with cancer. A significant number of all PE are diagnosed incidentally (incidental PE, iPE) in CT scans performed for staging or treatment response evaluation. Thousands of CT scans are performed for this indication every year in Halmstad, a regional hospital in Region Halland in southern Sweden, and we anticipate that in

Read More →

How well does a 3D convolutional neural network perform in detecting hypoperfusion?

European Radiology Experimental July 2022

Due to the life-threatening nature of chronic pulmonary embolism (CPE) and how easily it can be misdiagnosed on computed tomography, the authors of this study investigated a three-dimensional convolutional neural network (CNN) algorithm for detecting hypoperfusion in CPE from computed tomography pulmonary angiography (CTPA). This study demonstrated the feasibility of a deep learning algorithm for detecting hypoperfusion in CPE from

Read More →

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

Thomas Weikert November 2020

The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of a major challenge radiologists face nowadays: The swift identification and communication of critical findings in times of sharply rising numbers of examinations performed. A potential auxiliary tool helping us to master the flood of information and separate signal (critical findings) from noise (unremarkable examinations)

Read More →

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①

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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
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  • Exclusive access to the ESR feed in Juisci

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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

€ 0

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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.