Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis,
prognosis, treatment response, and personalized medicine. They serve as objective …

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 …

Artificial intelligence recommendations are sometimes erroneous and biased. In our
research, we hypothesized that people who perform a (simulated) medical diagnostic task …

The increasing prevalence of digitised workflows in diagnostic pathology opens the door to
life-saving applications of artificial intelligence (AI). Explainability is identified as a critical …

Prostate cancer is the most frequent cancer in men and a leading cause of cancer death.
Determining a patient's optimal therapy is a challenge, where oncologists must select a …

Prostate cancer treatment planning is largely dependent upon examination of core-needle
biopsies. The microscopic architecture of the prostate glands forms the basis for prognostic …

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING achieving human-level competence at
solving tasks across many domains in medicine. AI solutions based on deep learning have …

Histologic grading of breast cancer involves review and scoring of three well-established
morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken …

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 …

Histopathology, which is the gold-standard for prostate cancer diagnosis, faces significant
challenges. With prostate cancer ranking among the most common cancers in the United …