Radiomics is the extraction of predefined mathematic features from medical images for
predicting variables of clinical interest. Recent research has demonstrated that radiomics …

The rapid growth of medical imaging has placed increasing demands on radiologists. In this
scenario, artificial intelligence (AI) has become an attractive partner, one that may …

Artificial intelligence has demonstrated utility and is increasingly being used in the field of
radiology. The use of generative pre-trained transformer (GPT)-based models has the …

Purpose: The purpose of this study was to analyze the answers provided by ChatGPT to
various questions in the field of interventional radiology (IR) and compare their correctness …

Purpose The purpose of this study was to develop a radiomics-signature using computed
tomography (CT) data for the preoperative prediction of grade of nonfunctional pancreatic …

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data
contained in medical images. Deep learning and radiomics are the two main AI methods …

This article proposes a summary of the current status of the research regarding the use of
radiomics and artificial intelligence to improve the radiological assessment of patients with …

Gastrointestinal stromal tumours (GISTs) are defined as mesenchymal tumours of the
gastrointestinal tract that express positivity for CD117, which is a c-KIT proto-oncogene …

Purpose The purpose of this study was to develop and evaluate a deep learning model to
detect bone marrow edema (BME) in sacroiliac joints and predict the MRI Assessment of …

Purpose The purpose of this study was to develop and test across various scanners a zone-
specific region-of-interest (ROI)-based computer-aided diagnosis system (CAD) aimed at …