Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique

The authors of this study aimed to evaluate the image quality of low iodine concentration, dual-energy CT (DECT) combined with a deep learning-based noise...

European Radiology

Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique

Publications

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

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

Publications

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

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

https://www.business-to-you.com/crossing-the-chasm-technology-adoption-life-cycle/

COVID-19 Publications

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

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

Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique

The authors of this study aimed to evaluate the image quality of low iodine concentration,...

European Radiology

3 days ago

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 week 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...

European Radiology

1 week ago

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

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...

Merel Huisman

2 weeks 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...

European Radiology

2 weeks ago

Recorded webcast: Artificial Intelligence in clinical practice, today and tomorrow

As part of the German Congress of Radiology 2020, a webcast with Dr. David Jean Winkel took place...

ESR

3 weeks ago

Recorded webcast: Artificial Intelligence in clinical practice, today and tomorrow

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...

European Radiology

3 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...

Mohammad Hosein Rezazade Mehrizi & Peter van Ooijen

1 month ago

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

‘Solutions are needed to do more with less’: How AI is transforming radiology

From predictive AI to the presence of AI within disease pathways, turning data into actionable...

ESR

1 month ago

‘Solutions are needed to do more with less’: How AI is transforming radiology

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...

European Radiology

1 month ago

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

Using medical imaging and AI to help diagnose and manage COVID-19 patients

Case study on "Digitalizing healthcare" trends, produced by the Economist Intelligence Unit...

ESR

1 month ago

Using medical imaging and AI to help diagnose and manage COVID-19 patients

The promising possibility of using AI in mammography screening

In two recent publications in European Radiology, we have addressed two, of several, challenges...

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...

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...

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...

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

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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