AI Blog

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 comprehensive comparison of the risks between aneurysm...

Guo Zhong Chen

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

Tech

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 being used to monitor citizens and whether or not they are...

ESR

ai news

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

COVID-19

New algorithm hopes to fight COVID-19 in international effort

The COVID-19 pandemic has seen doctors, healthcare institutions, and companies come together in an international effort to drive innovative solutions in the...

ESR

New algorithm hopes to fight COVID-19 in international effort

Healthcare

Does gender bias exist in radiology AI?

Is AI sexist? The debate was gaining momentum in the pre-COVID-19 world and faded away with the outbreak. But with the impact of lockdown on work activity and...

Melisande Rouger

COVID-19

AI algorithm developed in collaborative approach to fight COVID-19

Within the science community, the role of computed tomography (CT) for diagnosis is currently being debated. In this context, preliminary studies showed that...

ESR

AI algorithm developed in collaborative approach to fight COVID-19

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

6 days ago

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

1 week ago

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

2 weeks ago

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

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Increasing numbers of publications document the potential of radiomics and artificial intelligence...

Fabian Kiessling

3 weeks ago

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Looking outside the box: IBM halts facial recognition, journalists replaced by AI, and navigating the high volume of COVID-19-related articles

This week in artificial intelligence (AI) news, we take a look at IBM's decision to halt the...

ESR

3 weeks ago

Looking outside the box: IBM halts facial recognition, journalists replaced by AI, and navigating the high volume of COVID-19-related articles

Does gender bias exist in radiology AI?

Is AI sexist? The debate was gaining momentum in the pre-COVID-19 world and faded away with the...

Melisande Rouger

4 weeks ago

Combining molecular and imaging metrics in cancer: radiogenomics

In oncology, we are in the era of personalized medicine that enables increasingly precise, often...

Katja Pinker

4 weeks ago

Combining molecular and imaging metrics in cancer: radiogenomics

Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer

The purpose of this retrospective study was to develop and evaluate the performance of U-Net to...

European Radiology

1 month ago

Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer

Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

This week in artificial intelligence (AI) news, we take a look at the human brain as a model for...

ESR

1 month ago

Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

Deep learning: definition and perspectives for thoracic imaging

The authors of this review aimed to provide definitions for understanding the methods of machine...

European Radiology

1 month ago

Deep learning: definition and perspectives for thoracic imaging

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

In this study, the authors aimed to develop a deep learning-based artificial intelligence (AI)...

European Radiology

2 months ago

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

Looking outside the box: AI detecting hate-speech, algorithms as artists, and AI-driven song contests

This week in artificial intelligence (AI) news, we take a look at what Facebook is doing to...

ESR

2 months ago

Looking outside the box: AI detecting hate-speech, algorithms as artists, and AI-driven song contests

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

The aim of this study was to evaluate whether machine learning algorithms allow for the prediction...

European Radiology Experimental

2 months ago

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT

The authors of this study aimed to determine the diagnostic performance of a deep learning...

European Radiology

2 months ago

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT

Radiology in the fight against COVID-19: How can AI help?

On the episode of "ESR Connect - Radiology fighting COVID-19", which premiered on Wednesday, April...

ESR

2 months ago

Radiology in the fight against COVID-19: How can AI help?

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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