The authors of this study aimed to develop and validate a radiomics nomogram for the prompt prediction of severe COVID-19 pneumonia. This was done through the...
In this study, the authors aimed to develop and validate a machine learning model for the prediction of adverse outcomes in hospitalized patients with...
The purpose of this retrospective study was to evaluate whether initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in...
In this retrospective study, the authors aimed to develop a fully automated artificial intelligence (AI) system to quantitatively assess the severity and...
Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare, especially in the areas of early detection and diagnosis. As lung...
The COVID-19 pandemic has seen doctors, healthcare institutions, and companies come together in an international effort to drive innovative solutions in the...
Within the science community, the role of computed tomography (CT) for diagnosis is currently being debated. In this context, preliminary studies showed that...
The European Institute for Biomedical Imaging Research (EIBIR) has recently launched an overview of COVID-19 imaging datasets. Imaging databases and...
Romanian startup XVision is putting its artificial intelligence (AI) solution to use in the fight against COVID-19. Their medical platform, which uses AI to...
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.
