The object of this study was to assess the similarities and differences of radiomics features on full field digital mammography (FFDM) in FOR PROCESSING and...
In this study, the authors’ aim was to investigate a previously developed radiomics-based biparametric magnetic resonance imaging (bpMRI) approach used...
In this educational review, the authors take a comprehensive look at various aspects and applications of artificial intelligence (AI) in the field of...
The authors of this study aimed to systematically review radiomic feature reproducibility and predictive model validation strategies in studies that deal with...
The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence...
The term “blockchain” may be familiar to those of whom have their fingers on the pulse of the latest technology or cryptocurrency trends – think Bitcoin or...
Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become...
Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine, devices based on machine/deep learning have proliferated,...
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.