AI Blog

Articles

Prediction of lipomatous soft tissue malignancy on MRI

This study, which included a cohort of 145 patients affected by lipomatous soft tissue tumours, aimed to compare the performances of MRI radiomic machine...

European Radiology Experimental

Prediction of lipomatous soft tissue malignancy on MRI

Articles

Opportunistic screening for osteoporosis and osteopenia using machine learning

Dr. Rizwan Aslam, of the University of California, San Francisco (UCSF), presented an abstract at RSNA in 2008 which showed that it was possible to screen for...

Ronnie Sebro

Opportunistic screening for osteoporosis and osteopenia using machine learning

Articles

Application of deep learning reconstruction in the diagnosis of renal calculi

In this study, the authors evaluated the diagnostic capability, image quality, and radiation dose of abdominal ultra-low-dose CT (ULDCT) with deep learning...

Insights into Imaging

Application of deep learning reconstruction in the diagnosis of renal calculi

Articles

Using parametric feature maps to enhance the stability of CT radiomics

It is known that the reproducibility of radiomic features is influenced by myriad factors, one of which is the size of the segmented volume. We hypothesized...

Laura Jensen & Damon Kim & Sebastian Nagel

Using parametric feature maps to enhance the stability of CT radiomics

Articles

Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

Pulmonary embolism (PE) is a common complication in patients with cancer. A significant number of all PE are diagnosed incidentally (incidental PE, iPE) in CT...

Peder Wiklund

Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

Prediction of lipomatous soft tissue malignancy on MRI

This study, which included a cohort of 145 patients affected by lipomatous soft tissue tumours,...

European Radiology Experimental

1 day ago

Opportunistic screening for osteoporosis and osteopenia using machine learning

Dr. Rizwan Aslam, of the University of California, San Francisco (UCSF), presented an abstract at...

Ronnie Sebro

1 week ago

Application of deep learning reconstruction in the diagnosis of renal calculi

In this study, the authors evaluated the diagnostic capability, image quality, and radiation dose...

Insights into Imaging

2 weeks ago

Using parametric feature maps to enhance the stability of CT radiomics

It is known that the reproducibility of radiomic features is influenced by myriad factors, one of...

Laura Jensen & Damon Kim & Sebastian Nagel

3 weeks ago

Cancer-associated incidental pulmonary embolism – underreporting and the potential role of AI

Pulmonary embolism (PE) is a common complication in patients with cancer. A significant number of...

Peder Wiklund

4 weeks ago

Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in abdomen dual-energy CT

The aim of this study was to investigate the effect of deep learning image reconstruction (DLIR)...

European Radiology

1 month ago

Deep learning image reconstruction to improve accuracy of iodine quantification and image quality in abdomen dual-energy CT

Reproducibility of AI models in head CT

The authors of this study reviewed research on AI algorithms relating to computed tomography (CT)...

Insights into Imaging

1 month ago

The role of radiomics in the detection of lymph node metastases

The authors of this retrospective analysis looked at the role that radiomics played when applied...

European Radiology Experimental

2 months ago

The role of radiomics in the detection of lymph node metastases

Machine learning–based radiomics classifies parotid tumors using morphological MRI

This comparative study aimed to evaluate the effectiveness of machine learning models based on...

European Radiology

2 months ago

Machine learning–based radiomics classifies parotid tumors using morphological MRI

Communicating with patients in the age of online portals

Future generations of patients are very likely to get more involved in decisions regarding their...

Christoph Becker

2 months ago

Communicating with patients in the age of online portals

Considerations for AI clinical impact in oncologic imaging

Artificial Intelligence for Health Imaging (AI4HI) is a network of 5 large EU-funded research...

Luis Martí-Bonmatí

2 months ago

Considerations for AI clinical impact in oncologic imaging

Deep Learning–driven classification of external DICOM studies for PACS archiving

The authors of this study used a deep learning-based approach, MOdality Mapping and Orchestration...

European Radiology

3 months ago

Deep Learning–driven classification of external DICOM studies for PACS archiving

AI for radiological paediatric fracture assessment

Fractures in children are common, sometimes subtle and can signify underlying child abuse. They...

Susan Shelmerdine

3 months ago

$AI for radiological paediatric fracture assessment$

The role of generative adversarial networks in brain MRI

Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive...

Hazrat Ali & Zubair Shah

3 months ago

The role of generative adversarial networks in brain MRI

Survey of ESR members looks at radiologists’ practical experience with AI

To obtain an impression of the current practical clinical experience of radiologists from...

Christoph Becker

3 months ago

Survey of ESR members looks at radiologists’ practical experience with AI

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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