Computed tomography (CT) introduced medicine to digital imaging. This occurred in the
early 1970s and it was the start of the digital medical imaging revolution. The resulting …

Radiomics analyses commonly apply imaging features of different complexity for the
prediction of the endpoint of interest. However, the prognostic value of each feature class is …

Simple Summary The extraction of quantitative data from standard-of-care imaging
modalities offers opportunities to improve the relevance and salience of imaging biomarkers …

Simple Summary This study developed CT-based radiomics signatures using the least
absolute shrinkage and selection operator (LASSO), random forest (RF) and support vector …

Background Hepatocellular carcinoma (HCC) is a common liver malignancy with limited
treatment options. Previous studies expressed the potential synergy of sorafenib and NK cell …

“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …

Standard treatment for patients with locally advanced rectal cancer has been the
multidisciplinary approach of neoadjuvant chemoradiotherapy, followed by total mesorectal …

In recent years, with the standardization of radiomics methods; development of tools; and
popularization of the concept, radiomics has been widely used in all aspects of tumor …

Simple Summary Therapeutic management of locally advanced rectal cancer has seen
profound modifications in the latest years, mainly with the advent of total neoadjuvant …

Objective Artificial intelligence (AI) holds enormous potential for noninvasively identifying
patients with rectal cancer who could achieve pathological complete response (pCR) …