Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different...
The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence...
From predictive AI to the presence of AI within disease pathways, turning data into actionable insight is already playing a key role in healthcare today. In...
In the past decade, deep learning architectures, which essentially consist of neural networks with numerous layers, have emerged as a dominant class of...
While the use of artificial intelligence (AI) in radiology eases workflows, it may also lead to a better and more precise understanding of disease. Predicting...
Medical imaging AI is progressing fast, boosted by an industrious community and technology advances. The market, however, is not big enough to support all the...
Equipped with a strong team of machine learning engineers and medical experts from prestigious hospitals, BioMind™ envisions to scale healthcare specialist...
From why imaging studies are ordered to how they are produced, analysed, interpreted and followed up on, artificial intelligence (AI) is enabling radiology...
Ask any radiologist, and they will tell you medical image data is on the rise; diagnostic imaging procedures are expected to increase 10-12% annually in...
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.