AI Blog

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

The aim of this study was to develop deep learning-based cardiac chamber enlargement-detection algorithms for left atrial (DLCE-LAE) and ventricular...

European Radiology

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

Publications

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence...

Insights into Imaging

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

Publications

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

In this multi-reader, multi-case study, the authors aimed to investigate whether an artificial intelligence (AI) support system could help to increase the...

European Radiology

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

Publications

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

The aim of this study was to compare the performance of a deep learning (DL)-based method used for diagnosing pulmonary nodules compared with the diagnostic...

European Radiology

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

Publications

Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists

The authors of this retrospective study aimed to evaluate the diagnostic performance of a radiomics model in order to classify hepatic cyst, hemangioma, and...

European Radiology

Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists

Automatic prediction of left cardiac chamber enlargement from chest radiographs using convolutional neural network

The aim of this study was to develop deep learning-based cardiac chamber enlargement-detection...

European Radiology

13 hours ago

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

The aim of this study was to qualitatively explore the perception of radiographers in relation to...

Insights into Imaging

1 week ago

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

In this multi-reader, multi-case study, the authors aimed to investigate whether an artificial...

European Radiology

2 weeks ago

Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest

The aim of this study was to compare the performance of a deep learning (DL)-based method used for...

European Radiology

3 weeks ago

Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists

The authors of this retrospective study aimed to evaluate the diagnostic performance of a...

European Radiology

4 weeks ago

ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging

The clinical promise of artificial intelligence (AI) in prostate cancer diagnosis has yet to...

Anwar Padhani & Tobias Penzkofer

1 month ago

ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging

Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning

The purpose of this study was to evaluate the performance of deep learning using ResNet50 in the...

European Radiology

2 months ago

$Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning$

ESR white paper: blockchain and medical imaging

The term “blockchain” may be familiar to those of whom have their fingers on the pulse of the...

Alex Vogel & Insights into Imaging

2 months ago

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

Beyond hopes and hype, the clinical applicability of artificial intelligence decision support...

Arnaldo Stanzione

2 months ago

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

The authors of this article have highlighted the importance of promoting reconciliation between...

Arosh Shavinda Perera

2 months ago

Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

COVID-19 classification of X-ray images using deep neural networks

The authors of this retrospective study propose a deep learning model for the detection of...

European Radiology

2 months ago

COVID-19 classification of X-ray images using deep neural networks

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

Our study included 519 screening chest radiographs (CXRs) from 294 patients enrolled in the...

Hyunsuk Yoo & Mannudeep Kalra & Subba Digumarthy

3 months ago

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer’s disease: a preliminary study

Subjective cognitive decline (SCD) may be a preclinical stage of Alzheimer's disease (AD). For...

European Radiology

3 months ago

Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer’s disease: a preliminary study

Fully automated pelvic bone segmentation in multiparametric MRI using a 3D convolutional neural network

The accurate skeleton segmentation with their semantic labels represents the initial step to...

Xiaoying Wang

3 months ago

Fully automated pelvic bone segmentation in multiparametric MRI using a 3D convolutional neural network

Practice makes perfect: Using AR to simulate CT guided procedures

As a junior radiology trainee, when I was not in the reporting room or on the wards doing portable...

Dimitri Amiras

3 months ago

Practice makes perfect: Using AR to simulate CT guided procedures

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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