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Opportunistic screening for osteoporosis and osteopenia using machine learning

Opportunistic screening for osteoporosis and osteopenia using machine learning

Dr. Rizwan Aslam, of the University of California, San Francisco (UCSF), presented an abstract at RSNA in 2008 which showed that it was possible to screen for...

Ronnie Sebro
5 hours ago
Application of deep learning reconstruction in the diagnosis of renal calculi

Application of deep learning reconstruction in the diagnosis of renal calculi

In this study, the authors evaluated the diagnostic capability, image quality, and radiation dose of abdominal ultra-low-dose CT (ULDCT) with deep learning...

Insights into Imaging
1 week ago
Using parametric feature maps to enhance the stability of CT radiomics

Using parametric feature maps to enhance the stability of CT radiomics

It is known that the reproducibility of radiomic features is influenced by myriad factors, one of which is the size of the segmented volume. We hypothesized...

Laura Jensen & Damon Kim & Sebastian Nagel
2 weeks ago
Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

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

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...

Peder Wiklund
3 weeks ago
Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in abdomen dual-energy CT

Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in abdomen dual-energy CT

The aim of this study was to investigate the effect of deep learning image reconstruction (DLIR) on the accuracy of iodine quantification and image quality of...

European Radiology
4 weeks ago

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.