We use a previously validated artificial neural network to evaluate its performance in a much larger, subsequent, consecutive cohort. In the community, there...
Radiomics as a research topic in radiology is certainly a promising field. Over the last years, many publications have shown promising results, showing that...
The purpose of this study, performed between January 2014 and May 2019 across five different centers, was to construct an MRI radiomics model and help...
This literature review summarizes the current status and evaluates the scientific reporting quality of radiomics research in the prediction of treatment...
This study aimed to evaluate whether radiomics from magnetic resonance imaging (MRI) would allow for the prediction of the overall survival in patients with...
In recent years, artificial intelligence (AI) and, in particular, the application of machine learning (ML) algorithms, have become a new cornerstone in...
The purpose of this single-center retrospective study was to investigate the effectiveness of contrast-enhanced computed tomography (CECT)-based radiomic...
In this retrospective study, the authors aimed to develop a fully automated artificial intelligence (AI) system to quantitatively assess the severity and...
The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of a major challenge radiologists face nowadays: The swift...
This retrospective study aimed to investigate whether radiomics features extracted from MRI of BRCA-positive patients with sub-centimeter breast masses can be...
There has been great interest in the development and application of artificial intelligence (AI) in the field of medical imaging. AI has the potential to be...
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.
