The future will always be just that…until it becomes the present. That is especially true when the future involves science. What if science fiction has a way...
The aim of this study was to develop a supervised machine learning (ML) algorithm that would use diffusion-weighted imaging-derived radiomic features to...
We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous...
This study integrated the clinical data and radiomics signature generated by a support vector machine to establish a radiomics nomogram for prediction of...
We recently spoke with Jörg Aumüller, who leads the Digital Health global marketing team at Siemens Healthineers. In our interview, we touched on the issue of...
Across all medical disciplines, artificial intelligence (AI) and machine learning will transform medicine beyond most people’s imaginations. Algorithms that...
This week in artificial intelligence (AI) news, we take a look at a programme that learns chess through listening to real match commentary, the UK’s...
Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As...
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.