Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model 1 for
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …

The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …

Simple Summary The integration of artificial intelligence (AI) into radiomic models has
become increasingly popular due to advances in computer-aided diagnosis tools. These …

Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

Abstract Introduction Artificial Intelligence-based Medical Devices (AI-based MDs) are
experiencing exponential growth in healthcare. This study aimed to investigate whether …

Purpose The purpose of this study was to perform a systematic review of the literature on the
diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based …

Simple Summary In this paper, we look at the role of artificial intelligence (AI) advancements
in prostate cancer diagnosis and management. Specifically, we focus on magnetic …