The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of...
The authors of this study conducted multiparametric magnetic resonance imaging (MRI)-derived radiomics based on multi-scale tumor region in order to predict...
This study aims to develop and validate a deep learning-based automatic chest radiograph (CXR) cardiovascular border (CB) analysis algorithm (CB_auto) in...
For breast cancer, the standard of treatment for most patients is neoadjuvant chemotherapy (NAC), but response rates may vary among patients, causing delays...
This proof of concept study examines using a deep learning-based method for the automatic analysis of digital mammograms as a tool to aid in the assessment of...
In this study, the authors aimed to develop an explainable ultrasound (US) computer-assisted diagnostic (CAD) model for suspicious thyroid nodules by...
This editorial comment discusses the study by Li et al., entitled “Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison...
The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose...
As a follow-up to part one of this international survey on artificial intelligence (AI), which surveyed over 1,000 radiologists and radiology residents and...
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.