AI Blog

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

Publications

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot...

Philippe Autier

AI for reading screening mammograms: the need for circumspection

Tech

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 quality control in factories while some workers are in...

ESR

ai news

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

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

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

4 days 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 weeks 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

3 weeks ago

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

4 weeks 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

1 month 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

1 month ago

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

1 month 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

2 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

2 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

2 months 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

2 months 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

2 months 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

2 months 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

2 months 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

2 months ago

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

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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