The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While
there are now many AI applications that have been deployed in high-income country …

Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …

Purpose The purpose of the study was to provide a comprehensive review of recent
machine learning (ML) and deep learning (DL) applications in urological practice …

Over the last 10 years there has been an explosion of information about the molecular
biology of cancer. A challenge in oncology is to translate this information into advances in …

Machine-learning methods can assist with the medical decision-making processes at the
both the clinical and diagnostic levels. In this article, we first review historical milestones and …

Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …

Big Data is, clearly, an integral part of modern information societies. A vast amount of data is
daily produced and it is estimated that, for the years to come, this number will grow …

BACKGROUND Prediction of survival after the treatment of hepatocellular carcinoma (HCC)
has been widely investigated, yet remains inadequate. The application of artificial …

Complicacy of clinical decisions justifies utilization of information systems such as artificial
intelligence (eg expert systems and neural networks) to achieve better decisions, however …

Background: Metastatic prostate cancer (PCa) has no curative treatment options. Some
forms of PCa are indolent and slow growing, while others metastasise quickly and may …