In two recent publications in European Radiology, we have addressed two, of several, challenges with mammography screening. Firstly, the vast majority of...
During the COVID-19 pandemic, routine breast cancer screening is largely being put on hold in many countries. Although it is not directly related, Sars-CoV-2...
The aim of this retrospective study was to establish and validate a radiomics nomogram that was based on contrast-enhanced spectral mammography (CESM) for the...
AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot...
The authors of this study evaluated the impact of utilizing digital breast tomosynthesis (DBT) and/or full-field digital mammography (FFDM), and different...
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...
Despite the encouraging results, more studies are needed in order to further evaluate these preliminary findings and to find to what extent radiomics and AI...
50,000. That is the number of images a radiologist can see every day. A figure almost impossible to grasp or believe, processing such a large amount of data...
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.