AI Blog

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

This editorial comment discusses the study by Li et al., entitled "Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison and...

European Radiology

editorial comment

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

COVID-19 Publications

Commercial AI solutions in detecting COVID‐19 pneumonia in chest CT: not yet ready for clinical implementation?

Thinking back on the last two years, what were the dominant topics of discussion in radiology? Certainly, artificial intelligence (AI) in radiology has...

Daniel Pinto dos Santos

Commercial AI solutions in detecting COVID‐19 pneumonia in chest CT: not yet ready for clinical implementation?

Publications

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose...

European Radiology

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Publications

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

As a follow-up to part one of this international survey on artificial intelligence (AI), which surveyed over 1,000 radiologists and radiology residents and...

European Radiology

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

Publications

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from computed tomography...

European Radiology Experimental

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

This editorial comment discusses the study by Li et al., entitled "Molecular subtyping of diffuse...

European Radiology

4 days ago

Commercial AI solutions in detecting COVID‐19 pneumonia in chest CT: not yet ready for clinical implementation?

Thinking back on the last two years, what were the dominant topics of discussion in radiology?...

Daniel Pinto dos Santos

1 week ago

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated...

European Radiology

2 weeks ago

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

As a follow-up to part one of this international survey on artificial intelligence (AI), which...

European Radiology

3 weeks ago

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN)...

European Radiology Experimental

1 month ago

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

The authors of this study aimed to systematically review radiomic feature reproducibility and...

Insights into Imaging

2 months ago

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

This retrospective, multi-institutional study investigated machine learning classifiers and...

European Radiology

2 months ago

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

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

2 months ago

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

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

2 months ago

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

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 months ago

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

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 months ago

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

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

3 months ago

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

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

3 months 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

4 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

4 months ago

ESR white paper: blockchain and medical imaging

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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