One of the goals of pathology is to standardize laboratory practices to increase the precision
and effectiveness of diagnostic testing, which will ultimately enhance patient care and …

Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is
crucial for clinical decision-making, but traditional pathology review is labor intensive and …

Unreliable predictions can occur when an artificial intelligence (AI) system is presented with
data it has not been exposed to during training. We demonstrate the use of conformal …

Simple Summary The primary purpose of this review is to provide an in-depth analysis of
existing Artificial Intelligence (AI) algorithms used in the field of prostate cancer (PC) for …

AI-enhanced virtual clinics and telemedicine are transforming cancer treatment by improving
access to care, diagnostic precision, and personalized treatment options. For patients …

In this modern era of digital pathology, artificial intelligence (AI)-based diagnostics for
prostate cancer has become a hot topic. Multiple retrospective studies have demonstrated …

Accurate diagnosis and grading of needle biopsies are crucial for prostate cancer
management. A uropathologist-level artificial intelligence (AI) system could help make …

Abstract Machine learning has been leveraged for image analysis applications throughout a
multitude of subspecialties. This position paper provides a perspective on the evolutionary …

Recent advances in semi-supervised learning algorithms (SSL) have made great strides in
reducing the training dependency on labeled datasets and requiring that only a subset of the …

The development of the Gleason grading system has proven to be an irreplaceable tool in
prostate cancer diagnostics within urology. Despite the advancements and developments in …