Advances in our understanding of the role of magnetic resonance imaging (MRI) for the
detection of prostate cancer have enabled its integration into clinical routines in the past two …

Simple Summary Radiomics could increase the value of medical images for oncologic
patients, allowing for the identification of novel imaging biomarkers and building prediction …

In the United States, prostate cancer (CaP) remains the second leading cause of cancer
deaths in men. CaP is predominantly indolent at diagnosis, with a small fraction (25–30%) …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Left ventricular diastolic dyfunction detection is particularly important in cardiac function
screening. This paper proposed a phonocardiogram (PCG) transfer learning-based …

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

Simple Summary In the last decades, the widespread use of PSA as the standard tool for
prostate cancer diagnosis led to a high rate of overdiagnosis and overtreatment. More …

Objectives Extraprostatic extension (EPE) of prostate cancer (PCa) is predicted using clinical
nomograms. Incorporating MRI could represent a leap forward, although poor sensitivity and …

Purpose To investigate radiomics and machine learning (ML) as possible tools to enhance
MRI-based risk stratification in patients with endometrial cancer (EC). Method From two …

Purpose In recent decades, diverse nomograms have been proposed to predict
extraprostatic extension (EPE) in prostate cancer (PCa). We aimed to systematically …