screening

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

AI exhibits high sensitivity and specificity in breast cancer screening program

Our recent study analyzed a subset of 5,136 mammograms, due to data constraints, from a decade-long screening program (five rounds) involving over 22,000 mammograms from around 9,000 women. Our objective was to evaluate the AI’s detection capabilities and assess various reading scenarios combining AI with human reading. The results highlighted the AI system’s performance with an AUC of 90%. However,

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Artificial neural network detects contrast phase in MDCT

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 →

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot fully appreciate the added value and limitations of AI technologies (Autier et al, Eur Radiol 2020, Apr 21). For instance, these studies cannot inform on numbers and results of biopsies that would have been done following a

Read More →

Fully Interlinked for Rapid Data Exchange in Mammography

In the region of southern Denmark, a broad network of hospitals provides medical services for the 1.2 million residents of South Jutland and the island of Funen. A mammography screening program for women ranging in age from 50 to 69 has been running there for 25 years. More than 100,000 women are called in for an examination every year, and

Read More →

AI exhibits high sensitivity and specificity in breast cancer screening program

Our recent study analyzed a subset of 5,136 mammograms, due to data constraints, from a decade-long screening program (five rounds) involving over 22,000 mammograms from around 9,000 women. Our objective was to evaluate the AI’s detection capabilities and assess various reading scenarios combining AI with human reading. The results highlighted the AI system’s performance with an AUC of 90%. However,

Read More →

Artificial neural network detects contrast phase in MDCT

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 →

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot fully appreciate the added value and limitations of AI technologies (Autier et al, Eur Radiol 2020, Apr 21). For instance, these studies cannot inform on numbers and results of biopsies that would have been done following a

Read More →

Fully Interlinked for Rapid Data Exchange in Mammography

In the region of southern Denmark, a broad network of hospitals provides medical services for the 1.2 million residents of South Jutland and the island of Funen. A mammography screening program for women ranging in age from 50 to 69 has been running there for 25 years. More than 100,000 women are called in for an examination every year, and

Read More →

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  • 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

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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.