Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of a major challenge radiologists face nowadays: The swift...

Thomas Weikert

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

Healthcare

AI in Risk-Based Breast Screening

Artificial intelligence tools and technology are becoming more ingrained in the radiological discipline, but only recently in breast imaging, more...

ESR

COVID-19 Healthcare

AI in the clinical field of lung disease and COVID-19

Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare, especially in the areas of early detection and diagnosis. As lung...

ESR

AI in the clinical field of lung disease and COVID-19

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

The purpose of this study was to evaluate the calibration of a deep learning (DL) model in a...

European Radiology

24 mins ago

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of...

Thomas Weikert

1 week ago

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

This retrospective study aimed to investigate whether radiomics features extracted from MRI of...

European Radiology

2 weeks ago

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

A fully automated software platform for structural mitral valve analysis

There has been great interest in the development and application of artificial intelligence (AI)...

U. Joseph Schoepf

3 weeks ago

A fully automated software platform for structural mitral valve analysis

AI in Risk-Based Breast Screening

Artificial intelligence tools and technology are becoming more ingrained in the radiological...

ESR

4 weeks ago

Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison

This study used a sample of 131 participants who underwent low-dose computed tomography (LDCT) and...

European Radiology

4 weeks ago

Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison

Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI

The purpose of this study was to develop an automatic method for the identification and...

European Radiology

1 month ago

Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

The aim of this retrospective study was to establish and validate a radiomics nomogram that was...

European Radiology

1 month ago

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma

The authors of this retrospective study aimed to develop and validate a CT-based radiomics model...

European Radiology

2 months ago

CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

In this study, the authors proposed a deep learning method for the detection and quantification of...

European Radiology Experimental

2 months ago

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

Protected: Video/Symposium: What effort does AI have for the future of lung disease and COVID-19?

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ESR

2 months ago

Protected: Video/Symposium: What effort does AI have for the future of lung disease and COVID-19?

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Advanced hepatocellular carcinoma (HCC) carries a dismal prognosis. For a decade, sorafenib, a...

Stefanie Hectors & Bachir Taouli

2 months ago

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Radiomics based on brain MRI is expected to be a useful tool for early identification and prediction of WMH progression

As a research hotspot in recent years, radiomics provides a new perspective for image diagnosis or...

Yuyun Xu & Xiangyang Gong

2 months ago

Radiomics based on brain MRI is expected to be a useful tool for early identification and prediction of WMH progression

AI in the clinical field of lung disease and COVID-19

Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare,...

ESR

3 months ago

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

In this study, the authors aimed to evaluate whether MRI-based radiomic features were able to...

European Radiology

3 months ago

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

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.

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

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