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osteoporosis

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:

deep learningmachine learningmriradiomicsx-ray computed tomographyinterviewai newsmammographyCOVID-19breast cancerneural networksdiagnostic imagingtomographyworkflowradiographyMDCT

Latest posts

Bone Strain Index predicts fragility fracture in osteoporotic women

European Radiology Experimental July 2022

The authors of this study used an artificial intelligence-based model in order to predict fragility fractures in postmenopausal women. Through a sample of 174 postmenopausal women, they found a high performance of an artificial neural network (ANN) analysis in predicting the occurrence of vertebral fractures (VFs) and also discovered that femoral bone strain index (BSI) appears helpful in identifying patients

Read More →

Artificial neural network detects contrast phase in MDCT

Sebastian Rühling 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

Read More →

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

European Radiology May 2021

In this study, the authors explored the application of deep learning in patients with primary osteoporosis. Furthermore, they aimed to develop a fully automatic method based on a deep convolutional neural network (DCNN) for vertebral body segmentation and bone mineral density (BMD) calculation in CT images. The authors were able to determine that a deep learning-based method could achieve full

Read More →

Are semi-automated software programs designed for adults accurate for the identification of vertebral fractures in children?

European Radiology July 2019

The goal of this study was to test if using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) is better for morphometric vertebral fracture (VF) diagnosis in children than using SpineAnalyzer™, a 6-point program which has previously been shown to be of insufficient accuracy. The authors were able to conclude that, although VERT™ has slightly higher accuracy

Read More →

Bone Strain Index predicts fragility fracture in osteoporotic women

European Radiology Experimental July 2022

The authors of this study used an artificial intelligence-based model in order to predict fragility fractures in postmenopausal women. Through a sample of 174 postmenopausal women, they found a high performance of an artificial neural network (ANN) analysis in predicting the occurrence of vertebral fractures (VFs) and also discovered that femoral bone strain index (BSI) appears helpful in identifying patients

Read More →

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

Read More →

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

European Radiology May 2021

In this study, the authors explored the application of deep learning in patients with primary osteoporosis. Furthermore, they aimed to develop a fully automatic method based on a deep convolutional neural network (DCNN) for vertebral body segmentation and bone mineral density (BMD) calculation in CT images. The authors were able to determine that a deep learning-based method could achieve full

Read More →

Are semi-automated software programs designed for adults accurate for the identification of vertebral fractures in children?

European Radiology July 2019

The goal of this study was to test if using AVERT™ (a 33-point semi-automated program developed for VF diagnosis in adults) is better for morphometric vertebral fracture (VF) diagnosis in children than using SpineAnalyzer™, a 6-point program which has previously been shown to be of insufficient accuracy. The authors were able to conclude that, although VERT™ has slightly higher accuracy

Read More →

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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 
  • Content e-mails for all ESR journals4
  • 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 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 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.

Reduced registration fees for ECR 2026:
Provided that ESR 2025 membership is activated and approved by August 31, 2025.

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.