Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …

Abstract Background In the United States, Black men are at highest risk for being diagnosed
with and dying from prostate cancer. Given this disparity, we examined relevant data to …

Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous
potential to augment clinical decision-making and enhance quality care and precision …

Cancer arises following alterations at different cellular levels, including genetic and
epigenetic modifications, transcription and translation dysregulation, as well as metabolic …

Nomograms help to predict outcomes in individual patients rather than whole populations
and are an important part of evaluation and treatment decision making. Various nomograms …

Objectives: The purpose of this scoping review was to identify the risk factors and screening
uptake for prostate cancer. Design: Scoping review. Methods: Arksey and O'Malley's …

Prostate cancer (PCa) affects millions of men worldwide and is a major cause of cancer-
related mortality. Race-associated PCa health disparities are also common and are of both …

The primary approaches to treat cancerous diseases include drug treatment, surgical
procedures, biotherapy, and radiation therapy. Chemotherapy has been the primary …

Simple Summary Prostate cancer represents a substantial global health issue, and its
intricacies continue to pose challenges for complete comprehension. In this study, an …

Introduction-With the high global prevalence of prostate cancer and associated mortalities, it
is important to enhance current clinical practices for better prostate cancer outcomes. The …