Radiomics as a research topic in radiology is certainly a promising field. Over the last years, many publications have shown promising results, showing that...
New machine learning techniques, especially deep neural networks, hold the promise of revolutionizing many aspects of radiology and have gained immense public...
In recent years, we have seen a sharp increase in publications concerning machine learning and deep learning in radiology. Consequently, some journals report...
In his outstanding keynote lecture at this year’s EuSoMII Annual Meeting, Tim Leiner issued a strong call to action. In order to bring artificial intelligence...
It was certainly a good choice to extend this year’s EuSoMII Annual Meeting to a two-day event. Imaging Informatics, with its many facets, is getting more and...
Two weeks ago, the European Society of Medical Imaging Informatics (EuSoMII) held its annual meeting in Valencia [1] – so it is just the right time to recap...
By now, everybody knows that AI-based systems achieve impressive results in image analysis. But a recent blog post asked the question of what the next true...
Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As...
Did you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks, neural...
Over the last years, medicine has been moving further towards providing a more tailored, patient-centric approach by taking into account as much information...
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.