The emergence of massively parallel yet affordable computing devices has been a game
changer for research in the field of artificial intelligence (AI). In addition, dramatic investment …

Radiomics is an emerging field which extracts quantitative radiology data from medical
images and explores their correlation with clinical outcomes in a non-invasive manner. This …

Key Points• Although radiomics is potentially a promising approach to analyze medical
image data, many pitfalls need to be considered to avoid a reproducibility crisis.• There is a …

Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …

PURPOSE Image analysis is one of the most promising applications of artificial intelligence
(AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases …

Digitization of medicine requires systematic handling of the increasing amount of health data
to improve medical diagnosis. In this context, the integration of the versatile diagnostic …

Chronic liver diseases, resulting from chronic injuries of various causes, lead to cirrhosis
with life-threatening complications including liver failure, portal hypertension, hepatocellular …

Radiomics is a relatively new approach for image analysis. As a part of radiomics, texture
analysis, which consists in extracting a great amount of quantitative data from original …

Objective To conduct multiparametric magnetic resonance imaging (MRI)-derived radiomics
based on multi-scale tumor region for predicting disease-free survival (DFS) in early-stage …

Background Radiological preoperative assessment of endometrial cancer (EC) is in some
cases not precise enough and its performances improvement could lead to a clinical benefit …