European Radiology

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 days 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

4 weeks 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

1 month 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

2 months ago

Can AI predict breast tumour response?

This proof of concept study examines using a deep learning-based method for the automatic analysis of digital mammograms as a tool to aid in the assessment of...

European Radiology

2 months ago

Radiomic nomogram predicts pathology invasiveness

The purpose of this retrospective diagnostic study was to develop and validate a preoperative CT-based nomogram combined with radiomic and...

European Radiology

2 months ago

Integrated AI model aids ultrasonographers

In this study, the authors aimed to develop an explainable ultrasound (US) computer-assisted diagnostic (CAD) model for suspicious thyroid nodules by...

European Radiology

3 months ago

Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning

This editorial comment discusses the study by Li et al., entitled “Molecular subtyping of diffuse gliomas using magnetic resonance imaging: comparison...

European Radiology

4 months ago

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose...

European Radiology

4 months ago

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

As a follow-up to part one of this international survey on artificial intelligence (AI), which surveyed over 1,000 radiologists and radiology residents and...

European Radiology

5 months ago