diagnosis

Machine learning–based radiomics classifies parotid tumors using morphological MRI

This comparative study aimed to evaluate the effectiveness of machine learning models based on morphological MRI radiomics in the classification of parotid...

European Radiology

4 months ago

Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI

The purpose of this study was to develop an automatic method for the identification and segmentation of clinically significant prostate cancer in low-risk...

European Radiology

2 years ago

AI in the clinical field of lung disease and COVID-19

Artificial intelligence (AI) tools are becoming a common occurrence in everyday healthcare, especially in the areas of early detection and diagnosis. As lung...

ESR

3 years ago

Can training data help radiologists to open deep learning black box?

Deep learning has recently pervaded the radiology field, reaching promising results that have encouraged both scientists and entrepreneurs to apply these...

Marina Codari

3 years ago

Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?

Increasing numbers of publications document the potential of radiomics and artificial intelligence (AI)-aided diagnostics, and the Corona pandemic made the...

Fabian Kiessling

3 years ago

Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis

Multiple automated methods for segmentation of multiple sclerosis (MS) lesions have been developed over the past years, and the use of artificial neural...

Philipp Kickingereder

3 years ago

Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer

The authors of this study constructed two multivariate logistic regression models and compared the diagnostic performance between the two of them via receiver...

European Radiology

3 years ago