AI Blog

Articles

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

Over a decade in the making, the novel concept of radiomics has been silently brewing, promising to reshape the landscape of personalised and precision...

Hyun Soo Ko

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

Articles

Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

This study evaluates deep learning (DL) algorithms that are playing an increasingly important role in automatic medical image analysis. The DL algorithm used...

European Radiology Experimental

Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

Articles

Multi-channel deep learning model diagnoses the cause of LVH

A new study sees the development of a fully automatic framework for the diagnosis of the cause of left ventricular hypertrophy (LVH) via cardiac cine images....

Insights into Imaging

Multi-channel deep learning model diagnoses the cause of LVH

Articles

Evaluating a deep learning software for lung parenchyma characterization in COVID-19 pneumonia

The aim of this study was to evaluate the performance of the LungQuant system, which is a deep learning-based software for quantitative analysis of chest CT....

European Radiology Experimental

Evaluating a deep learning software for lung parenchyma characterization in COVID-19 pneumonia

Articles

Robustness of pulmonary nodule radiomic features on CT as a function of varying radiation dose levels

The aim of this study was to present an in vivo stability analysis of radiomic features for pulmonary nodules against varying radiation dose levels. The...

European Radiology

Robustness of pulmonary nodule radiomic features on CT as a function of varying radiation dose levels

Unlocking the Potential of Radiomics: Ongoing Challenges Are Revolving Around Methodology and Reproducibility

Over a decade in the making, the novel concept of radiomics has been silently brewing, promising...

Hyun Soo Ko

3 days ago

Evaluation of techniques to improve a deep learning algorithm for the automatic detection of intracranial haemorrhage on CT head imaging

This study evaluates deep learning (DL) algorithms that are playing an increasingly important role...

European Radiology Experimental

1 week ago

Multi-channel deep learning model diagnoses the cause of LVH

A new study sees the development of a fully automatic framework for the diagnosis of the cause of...

Insights into Imaging

2 weeks ago

Evaluating a deep learning software for lung parenchyma characterization in COVID-19 pneumonia

The aim of this study was to evaluate the performance of the LungQuant system, which is a deep...

European Radiology Experimental

3 weeks ago

Robustness of pulmonary nodule radiomic features on CT as a function of varying radiation dose levels

The aim of this study was to present an in vivo stability analysis of radiomic features for...

European Radiology

4 weeks ago

Reproducibility of a combined AI and optimal-surface graph-cut method to automate bronchial parameter extraction

The authors of this study evaluated the reproducibility of a deep learning and optimal-surface...

European Radiology

1 month ago

Reproducibility of a combined AI and optimal-surface graph-cut method to automate bronchial parameter extraction

Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey

This study conducted a bibliometric analysis of radiomics ten years after the first work became...

European Radiology

2 months ago

Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey

A novel AI model to distinguish benign from malignant ovarian tumors

The authors of this study developed a CT-based artificial intelligence model with the ability to...

Insights into Imaging

2 months ago

A novel AI model to distinguish benign from malignant ovarian tumors

Aging-related volume changes in the brain and cerebrospinal fluid using AI-automated segmentation

Deep learning methods to quantitatively assess disease-specific brain atrophy from CT and MRI...

Shigeki Yamada

2 months ago

Aging-related volume changes in the brain and cerebrospinal fluid using AI-automated segmentation

Structured reporting using an intelligent dialogue system based on speech recognition and NLP

Although structured reporting (SR) is recommended in the field of radiology compared to free-text...

Insights into Imaging

2 months ago

Structured reporting using an intelligent dialogue system based on speech recognition and NLP

Intelligent noninvasive meningioma grading using deep learning

The purpose of this study was to establish a robust interpretable deep learning (DL) model for the...

European Radiology

2 months ago

Intelligent noninvasive meningioma grading using deep learning

AI-aided software for detecting visible clinically significant prostate cancer on mpMRI

This study seeks to determine if artificial intelligence (AI)-based software can improve...

Insights into Imaging

3 months ago

AI-aided software for detecting visible clinically significant prostate cancer on mpMRI

Using a multi-decoder water-fat separation neural network for liver PDFF estimation

The authors of this study proposed a multi-task U-Net-based architecture to jointly estimate...

European Radiology

3 months ago

Using a multi-decoder water-fat separation neural network for liver PDFF estimation

Hepatic steatosis increases liver volume

Our recent research published in European Radiology aimed to evaluate the impact of hepatic...

Seung Soo Lee

3 months ago

Hepatic steatosis increases liver volume

Radiologists’ performance improved by algorithmic transparency and interpretability measures

This study's aim was to evaluate the perception of various types of artificial intelligence-based...

European Radiology

3 months ago

Radiologists’ performance improved by algorithmic transparency and interpretability measures

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.

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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