European Radiology Experimental

The latest developments in radiomics and AI may help against prostate cancer

The authors of this systematic review explored the currently available literature on artificial intelligence (AI) and radiomics applied to molecular imaging...

European Radiology Experimental

5 days ago

Metadata Models: The position of the AI for Health Imaging (AI4HI) network

Due to the enormous amount of imaging data that is becoming available, there is a wide range of possible improvements that can be provided by artificial...

European Radiology Experimental

4 weeks ago

The potential of texture analysis for breast density classification

Breast cancer continues to be the most commonly diagnosed cancer among women with over 2 million new cases per year worldwide. One important independent risk...

European Radiology Experimental

2 months ago

How well does a 3D convolutional neural network perform in detecting hypoperfusion?

Due to the life-threatening nature of chronic pulmonary embolism (CPE) and how easily it can be misdiagnosed on computed tomography, the authors of this study...

European Radiology Experimental

2 months ago

Bone Strain Index predicts fragility fracture in osteoporotic women

The authors of this study used an artificial intelligence-based model in order to predict fragility fractures in postmenopausal women. Through a sample of 174...

European Radiology Experimental

2 months ago

Automated AI to predict survival post cystectomy

In this study, the authors developed a fully automated artificial intelligence (AI)-based image analysis tool for segmenting skeletal muscle of the torso and...

European Radiology Experimental

7 months ago

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from computed tomography...

European Radiology Experimental

10 months ago

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

In this study, the authors proposed a deep learning method for the detection and quantification of pneumothorax in heterogeneous routine clinical data, which...

European Radiology Experimental

2 years ago

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

The aim of this study was to evaluate whether machine learning algorithms allow for the prediction of Child-Pugh classification on clinical multiphase...

European Radiology Experimental

2 years ago

A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

This preliminary study aimed to differentiate malignant from benign enhancing foci on breast MRI using radiomic signature. Forty-five patients were included...

European Radiology Experimental

3 years ago