In this study, the authors sought to investigate the feasibility of a deep learning-based detection (DLD) system for multiclass legions on chest radiograph....
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...
In an attempt to determine whether deep learning with the convolutional neural networks (CNN) can be used for identifying parkinsonian disorder on MRI, the...
With the increased use of artificial intelligence (AI) in every segment of life including healthcare, patient data is being collected massively and shared by...
This week, the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) will head to Rome, Italy, where they will host the ESGAR 2019 30th Annual...
Convolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A major barrier...
This article aims to bring together the various technological developments that have taken place in medical imaging analysis and highlight a potential path...
Following the excitement of ECR 2019, there is less than one month until ESOR’s premium event: Intelligence. Innovation. Imaging. The Perfect Vision of AI,...
The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors...
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.