AI Blog

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

Publications

AI abstracts from ECR 2019: analysis of topics and compliance with the STARD for abstracts checklist

New machine learning techniques, especially deep neural networks, hold the promise of revolutionizing many aspects of radiology and have gained immense public...

Daniel Pinto dos Santos

AI abstracts from ECR 2019: analysis of topics and compliance with the STARD for abstracts checklist

COVID-19 Healthcare Tech

CTO Peter Schardt talks radiology tech and innovation at premium ESOR event

In a special interview for the ESR's premium event on 'Artificial Intelligence in Oncologic Imaging', the European School of Radiology (ESOR) spoke to Peter...

ESR

CTO Peter Schardt talks radiology tech and innovation at premium ESOR event

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

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

ESR

2 weeks 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

2 weeks ago

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

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Digital tomosynthesis (DTS) could be a realistic alternative to low dose CT for lung cancer...

Stéphane Chauvie

3 weeks ago

Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials

In this observational cohort study, the authors aimed to determine the potential impact of machine...

European Radiology

4 weeks ago

$Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials$

AI abstracts from ECR 2019: analysis of topics and compliance with the STARD for abstracts checklist

New machine learning techniques, especially deep neural networks, hold the promise of...

Daniel Pinto dos Santos

1 month ago

Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis

The goal of this study was to assess the diagnostic accuracy of machine learning in the prediction...

European Radiology

1 month ago

Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis

CTO Peter Schardt talks radiology tech and innovation at premium ESOR event

In a special interview for the ESR's premium event on 'Artificial Intelligence in Oncologic...

ESR

2 months ago

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies...

Philippe Autier

2 months ago

AI for reading screening mammograms: the need for circumspection

Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging

Endometrial cancer (EC) has the highest rate of malignancy in women in the entire world, including...

He Zhang

2 months ago

Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging

Can training data help radiologists to open deep learning black box?

Deep learning has recently pervaded the radiology field, reaching promising results that have...

Marina Codari

2 months ago

Can training data help radiologists to open deep learning black box?

Looking outside the box: inspector robots, machine learning helping to catalogue history, and sanitizing work spaces without humans

This week in artificial intelligence (AI) news, we take a look at systems being utilized for...

ESR

2 months ago

Looking outside the box: inspector robots, machine learning helping to catalogue history, and sanitizing work spaces without humans

Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

The purpose of this study was to develop a deep learning-based method for the automated...

European Radiology

3 months ago

Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion

Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study

Decisions regarding the optimal management of unruptured intracranial aneurysms (UIAs) depend on a...

Guo Zhong Chen

3 months ago

Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study

Looking outside the box: facial recognition to enforce wearing masks, robotics saving coral reefs, and virtual partners during quarantine

This week in artificial intelligence (AI) news, we take a look at facial recognition technology...

ESR

3 months ago

Looking outside the box: facial recognition to enforce wearing masks, robotics saving coral reefs, and virtual partners during quarantine

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

In this study, the authors retrospectively collected 2,088 abnormal and 352 normal chest...

European Radiology

3 months ago

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

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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