AI Blog

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

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

Publications

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

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

Healthcare

The power of digitalization: Turning data into information

Digitalization is a key lever in helping radiology departments respond to the various challenges being faced by them today. The increasing amount of often...

ESR

digitalization

The power of digitalization: Turning data into information

COVID-19 Healthcare

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

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...

David Bonekamp

10 hours ago

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,...

Daniel Pinto dos Santos

1 week ago

The power of digitalization: Turning data into information

Digitalization is a key lever in helping radiology departments respond to the various challenges...

ESR

2 weeks ago

Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study

The purpose of this study, performed between January 2014 and May 2019 across five different...

European Radiology

2 weeks ago

Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

This literature review summarizes the current status and evaluates the scientific reporting...

European Radiology

3 weeks ago

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas

This study aimed to evaluate whether radiomics from magnetic resonance imaging (MRI) would allow...

European Radiology

4 weeks ago

Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomas

Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning

In recent years, artificial intelligence (AI) and, in particular, the application of machine...

Christian Tesche

1 month ago

Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning

Recorded Panel Discussion on Intelligence-Based Decision Support

As part of the Siemens Healthineers Shape 21 RSNA Experience, Siemens Healthineers organized four...

ESR

1 month ago

Recorded Panel Discussion on Intelligence-Based Decision Support

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

The purpose of this single-center retrospective study was to investigate the effectiveness of...

European Radiology

1 month ago

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

In this retrospective study, the authors aimed to develop a fully automated artificial...

European Radiology

2 months ago

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

The Impact of AI on Clinical Workflow

With technological evolution moving at a rapid pace, the ubiquity of artificial intelligence (AI)...

ESR

2 months ago

Artificial Intelligence to Help Radiologists in the Early Detection of Breast Cancer with Mammography and Breast Tomosynthesis

During the COVID-19 pandemic, routine breast cancer screening is largely being put on hold in many...

ESR

2 months ago

Artificial Intelligence to Help Radiologists in the Early Detection of Breast Cancer with Mammography and Breast Tomosynthesis

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

The purpose of this study was to evaluate the calibration of a deep learning (DL) model in a...

European Radiology

2 months ago

Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

The detection of pulmonary embolism (PE) in CT pulmonary angiograms (CTPAs) is a great example of...

Thomas Weikert

2 months ago

Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

This retrospective study aimed to investigate whether radiomics features extracted from MRI of...

European Radiology

2 months ago

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

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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