AI Blog

Healthcare

AI can reduce reading times and improve reader performance in breast and chest

Tools using artificial intelligence (AI) for medical imaging can help detect and classify lesions in an increasing number of clinical applications. In breast...

Melisande Rouger

AI can reduce reading times and improve reader performance in breast and chest

Education & Events Healthcare

Assessing the impact of AI in radiology management

As the demand for time-consuming imaging services keeps on growing, radiology departments are increasingly vulnerable to staff shortages. Artificial...

Melisande Rouger

radiology management

Assessing the impact of AI in radiology management

Publications

What the radiologist should know about artificial intelligence – an ESR white paper

Did you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks, neural...

Daniel Pinto dos Santos

What the radiologist should know about artificial intelligence – an ESR white paper

Publications

How machine learning-based high-dimensional CT texture analysis is influenced by segmentation margin

Radiomic workflows include various challenging steps. One of the most demanding steps in radiomics is the segmentation process. Particularly for the renal...

Burak Kocak

How machine learning-based high-dimensional CT texture analysis is influenced by segmentation margin

PublicationsMore >

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Deep learning reconstruction (DLR) is a novel method of reconstruction that introduces deep...

European Radiology

4 days ago

Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Convolutional neural networks (CNN) have demonstrated the potential to become effective and...

European Radiology

7 days ago

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

In this article, we extracted “hand-crafted” radiomic features from dual-energy CT (DECT) virtual...

Reza Forghani

2 weeks ago

Using machine learning to predict cervical lymph node metastasis on dual-energy CT

CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts

The aim of this study was to determine the effects of different reconstruction algorithms on...

European Radiology

3 weeks ago

CT reconstruction algorithms affect histogram and texture analysis: evidence for liver parenchyma, focal solid liver lesions, and renal cysts

AI-assisted Multi-Organ Image Interpretation

Advertorial The broader implementation of artificial intelligence (AI) will be based on versatile...

ESR

3 weeks ago

AI-assisted Multi-Organ Image Interpretation

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.