European Radiology

Deep learning detection of ACL tear on knee MRI

The purpose of this study was to develop a deep-learning algorithm for tear detection in the anterior cruciate ligament (ACL), subsequently comparing its...

European Radiology

2 weeks ago

Applications of machine learning for imaging-driven diagnosis of musculoskeletal malignancies

Due to the rare nature of musculoskeletal malignancies and the lack of imaging data associated with this cancer, the authors of this study aimed to...

European Radiology

3 weeks ago

Non-invasive prediction of microsatellite instability in colorectal cancer

The goal of this study was to establish a CT-based radiomics signature in order to predict microsatellite instability (MSI) status in patients with colorectal...

European Radiology

2 months ago

What do stakeholders think about the future of AI in radiology?

Fear of artificial intelligence (AI) taking over jobs is a view one would think stakeholders would have in the field of radiology, but the authors of this...

European Radiology

3 months ago

Do plaque-related factors affect the diagnostic performance of an AI-CADS?

In this study, the authors aimed to investigate the effects of plaque-related factors, if any, on the diagnostic performance of an artificial intelligence...

European Radiology

4 months ago

Precision of MRI radiomics features in the liver and HCC

The aim of this study, consisting of a population of 55 patients who underwent two repeat contrast-enhanced abdominal MRI exams within 1 month, was to assess...

European Radiology

4 months ago

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of...

European Radiology

4 months ago

Radiomics in the prediction of disease-free survival in early-stage squamous cervical cancer

The authors of this study conducted multiparametric magnetic resonance imaging (MRI)-derived radiomics based on multi-scale tumor region in order to predict...

European Radiology

5 months ago

A deep learning algorithm for VHD diagnosis and evaluation

This study aims to develop and validate a deep learning-based automatic chest radiograph (CXR) cardiovascular border (CB) analysis algorithm (CB_auto) in...

European Radiology

6 months ago

Deep learning radiomics in prediction of NAC response

For breast cancer, the standard of treatment for most patients is neoadjuvant chemotherapy (NAC), but response rates may vary among patients, causing delays...

European Radiology

6 months ago