The authors of this retrospective study propose a deep learning model for the detection of COVID-19 from chest x-rays (CXRs), as well as a tool for retrieving...
Although challenging to predict, early recognition of COVID-19 severity can help guide patient management. The authors of this study aimed to develop an...
The authors of this study analyzed and compared the imaging workflow, radiation dose, and image quality for 127 adult COVID-19 patients who were examined...
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...
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.
