Multiparametric MRI (mpMRI) of the prostate aids risk stratification of patients with elevated
PSA levels. Although most clinically significant prostate cancers are detected by mpMRI …

Objective To review the components of past and present active surveillance (AS) protocols,
provide an overview of the current studies employing artificial intelligence (AI) in AS of …

Objectives Artificial intelligence (AI) is expected to alleviate the negative consequences of
rising case numbers for radiologists. Currently, systematic evaluations of the impact of AI …

In the era of digitalization, the biomedical sector has been affected by the spread of artificial
intelligence. In recent years, the possibility of using deep and machine learning methods for …

Abstract The US Food and Drug Administration (FDA) has issued a boxed warning and
mandated additional safety measures for all gadolinium-based contrast agents (GBCAs) …

Background Deep-learning-based reconstruction (DLR) improves the quality of magnetic
resonance (MR) images which allows faster acquisitions. The aim of this study was to …

Artificial intelligence (AI) has become a pivotal tool for medical image analysis, significantly
enhancing drug discovery through improved diagnostics, staging, prognostication, and …

Prostate cancer is one of the major health challenges in the world and needs novel
therapeutic approaches to overcome the limitations of conventional treatment. This review …

Prostate MRI is an essential tool in the diagnostic pathway for prostate cancer. However, its
accuracy can be confounded by a spectrum of noncancerous entities with similar …

Objective To establish a combined radiomics-clinical model for the early prediction of a
prostate-specific antigen (PSA) response in patients with metastatic castration-resistant …