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AI Blog

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 learningmriradiomicsx-ray computed tomographyai newsCOVID-19mammographyinterviewbreast cancerdiagnostic imagingneural networkstomographyMDCTworkflowradiography

Latest posts

Automated AI to predict survival post cystectomy

European Radiology Experimental March 2022

In this study, the authors developed a fully automated artificial intelligence (AI)-based image analysis tool for segmenting skeletal muscle of the torso and calculating the muscle volume. The authors were able to determine that the fully automated AI-based image analysis software was able to segment the skeletal muscle volume in over 97% of patients who were planning to undergo radical

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Integrated AI model aids ultrasonographers

European Radiology February 2022

In this study, the authors aimed to develop an explainable ultrasound (US) computer-assisted diagnostic (CAD) model for suspicious thyroid nodules by retrospectively analyzing over 2,900 solid or almost-solid thyroid nodules. A deep learning model and a multiple risk features learning ensemble model were then used to train the US images of 2,794 thyroid nodules. An integrated AI model was generated

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Measuring bias when using cross-validation in radiomics

Aydin Demircioğlu February 2022

Radiomics studies often perform a feature selection step to remove redundant and irrelevant features from the generic features extracted from radiological images. However, one must take care if feature selection is used together with cross-validation. In this case, the feature selection must be applied to each fold separately. If it is applied beforehand on all data as a preprocessing step,

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Artificial neural network detects contrast phase in MDCT

Sebastian Rühling, Fernando Navarro February 2022

Automated extraction of novel biomarkers from routine imaging examinations, e.g., opportunistic CT, is a promising opportunity to extend current screening possibilities and to better guide individualized therapies. In theory, opportunistic CT can be used to obtain quantitative biomarker data from any tissue included in a routine examination. Over the past decade, AI has been used to develop many different automated

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Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI

Zheng-Han Yang February 2022

We investigated a saliency-based 3D convolutional neural network (CNN) to classify seven categories of common focal liver lesions and validated the model performance. This retrospective study included 557 lesions examined by multisequence MRI. We found that this interpretable deep learning model showed high diagnostic performance in the differentiation of common liver masses on multisequence MRI. A few important notes on

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Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge

Henkjan Huisman January 2022

Prostate MRI can be a game-changer for many men with elevated prostate-specific antigen (PSA). For decades these many men underwent biopsies while never developing prostate cancer. Expert prostate MRI can help avoid these unnecessary biopsies and better target any biopsies. Unfortunately, reading prostate MRI is challenging and time-consuming. Like other medical imaging modalities, AI is explored for helping read prostate

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Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

European Radiology January 2022

This editorial comment discusses the study by Li et al., entitled “Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and correlation between radiomics and deep learning”. The original article to which the editorial comment refers aimed to establish predictive models based on preoperative multiparametric MRI, related to molecular subtyping of diffuse gliomas. Article: Artificial intelligence on MRI for

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Commercial AI solutions in detecting COVID‐19 pneumonia in chest CT: not yet ready for clinical implementation?

Daniel Pinto dos Santos January 2022

Thinking back on the last two years, what were the dominant topics of discussion in radiology? Certainly, artificial intelligence (AI) in radiology has sparked a lot of interest and enthusiasm in radiology, and COVID-19, which was a topic nobody could avoid. So, it comes as no surprise that the combination of both topics – i.e. using AI to detect COVID

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A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

European Radiology January 2022

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose pulmonary tuberculosis (TB). This was achieved through the retrospective use of 892 chest CT scans from pathogen-confirmed TB patients. It was found that the end-to-end AI system based on chest CT is able to achieve human-level

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An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

European Radiology January 2022

As a follow-up to part one of this international survey on artificial intelligence (AI), which surveyed over 1,000 radiologists and radiology residents and explored early adoption of AI, as well as radiologists’ perspectives on and fear of being replaced by these technologies, part 2 discusses the expectations of AI and the hurdles associated with implementation and education. Regardless of the

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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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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
  • 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
  • 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

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.
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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.