AI Blog

Articles

Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

The aim of this study was to provide an updated systematic review of radiomics in osteosarcoma, utilizing various databases such as PubMed, Embase, China...

Insights into Imaging

Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

Articles

Detecting dysthyroid optic neropathy using radiomics analysis of the optic nerve

Because the early detection of dysthyroid optic neuropathy (DON) is of the utmost importance for clinical decision-making, the authors of this study aimed to...

Insights into Imaging

Detecting dysthyroid optic neropathy using radiomics analysis of the optic nerve

Articles

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm

This retrospective study evaluated deep learning algorithms for the detection of automatic rib fracture on thoracic CT scans. The authors also aimed to...

European Radiology

$Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm$

Articles

The effect of preprocessing filters on predictive performance in radiomics

In radiomics, the main goal is to extract quantitative features from medical data to train a predictive model using machine learning techniques. Contrary to...

Aydin Demircioğlu

The effect of preprocessing filters on predictive performance in radiomics

Articles

EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

When the Radiomics Quality Score (RQS) was presented to the scientific community back in 2017, its authors aimed to introduce a tool for a rapid and effective...

Arnaldo Stanzione

EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

The aim of this study was to provide an updated systematic review of radiomics in osteosarcoma,...

Insights into Imaging

9 hours ago

Detecting dysthyroid optic neropathy using radiomics analysis of the optic nerve

Because the early detection of dysthyroid optic neuropathy (DON) is of the utmost importance for...

Insights into Imaging

1 week ago

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm

This retrospective study evaluated deep learning algorithms for the detection of automatic rib...

European Radiology

2 weeks ago

$Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm$

The effect of preprocessing filters on predictive performance in radiomics

In radiomics, the main goal is to extract quantitative features from medical data to train a...

Aydin Demircioğlu

3 weeks ago

EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

When the Radiomics Quality Score (RQS) was presented to the scientific community back in 2017, its...

Arnaldo Stanzione

4 weeks ago

Standardised lesion segmentation for imaging biomarker quantitation

Extraction of quantitative data from images requires selecting the regions-of-interest from which...

Nandita deSouza

1 month ago

Standardised lesion segmentation for imaging biomarker quantitation

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 month ago

Prediction of lipomatous soft tissue malignancy on MRI

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

2 months ago

Opportunistic screening for osteoporosis and osteopenia using machine learning

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 months ago

Application of deep learning reconstruction in the diagnosis of renal calculi

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

2 months ago

Using parametric feature maps to enhance the stability of CT radiomics

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

2 months ago

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

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

3 months 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

3 months 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

3 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

3 months ago

Machine learning–based radiomics classifies parotid tumors using morphological MRI

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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