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Protected: To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

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Patrick Omoumi & Daniel Pinto dos Santos

1 day ago

Combining radiomics with ultrasound-based risk stratification systems for thyroid nodules: an approach for improving performance

In this study, the authors develop a radiomics score using ultrasound images in order to predict thyroid malignancy and to investigate its potential as a...

European Radiology

3 days ago

Bridging the chasm: Education may turn Early Majority into Early Adopters

A while ago we came up with the idea to investigate the intersection between change management and artificial intelligence (AI) in radiology. We wanted to...

Merel Huisman

1 week ago

Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

The purpose of this retrospective study was to evaluate whether initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in...

European Radiology

1 week ago

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

The purpose of this study was to classify the most common types of plain radiography through the use of a neural network and, subsequently, to validate the...

European Radiology

2 weeks ago

Practical applications of deep learning: classifying the most common categories of plain radiographs in a PACS using a neural network

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

Although a lot of developments are made in the area of artificial intelligence (AI) in radiology and the number of publications is ever-increasing, the...

Mohammad Hosein Rezazade Mehrizi & Peter van Ooijen

3 weeks ago

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

In this study, the authors extended the ComBat approach to provide a harmonization procedure that is applicable to any radiomic feature. They achieve this by...

European Radiology

1 month ago

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

The promising possibility of using AI in mammography screening

In two recent publications in European Radiology, we have addressed two, of several, challenges with mammography screening. Firstly, the vast majority of...

Kristina Lång

1 month ago

The promising possibility of using AI in mammography screening

Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis

Medical imaging encodes information of underlying tissues and can provide a comprehensive view of the entire body repeatedly throughout the course of disease....

Raquel Perez-Lopez

2 months ago

Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis

Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images

In this study, the aim of the authors was to investigate the feasibility and accuracy of differentiating the primary adenocarcinoma (AD) and squamous cell...

European Radiology

2 months ago

Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Chest radiographs (CRs) have long been used as one of the screening tests for pulmonary tuberculosis (TB). However, the interpretation of a large number of...

Chang Min Park

2 months ago

Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

We are living in the hype about artificial intelligence (AI) in radiology. Many publications have proven that AI is able to support image analysis with its...

Elmar Kotter

2 months ago

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment

We use a previously validated artificial neural network to evaluate its performance in a much larger, subsequent, consecutive cohort. In the community, there...

David Bonekamp

3 months ago

Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment

A decade of radiomics research: are images really data or just patterns in the noise?

Radiomics as a research topic in radiology is certainly a promising field. Over the last years, many publications have shown promising results, showing that...

Daniel Pinto dos Santos

3 months ago

A decade of radiomics research: are images really data or just patterns in the noise?

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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.

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Welcome to the blog on Artificial Intelligence of the European Society of Radiology

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