Background Risk stratification or progression in prostate cancer is performed with the
support of clinical-pathological data such as the sum of the Gleason score and serum levels …

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 …

Background: The workflow of prostate cancer diagnosis and grading is cumbersome and the
results suffer from substantial inter-observer variability. Recent trials have shown potential in …

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 …

Pathologic examination of prostate biopsies is time consuming due to the large number of
slides per case. In this retrospective study, we validate a deep learning-based classifier for …

Abstract Background The phase 3 CALGB 90203 (Alliance) trial evaluated neoadjuvant
chemohormonal therapy for high-risk localized prostate cancer before radical prostatectomy …

The diagnosis of prostate cancer (PCa) depends on the evaluation of core needle biopsies
by trained pathologists. Artificial intelligence (AI) derived models have been created to …

Precision medicine aims to provide personalized care based on individual patient
characteristics, rather than guideline-directed therapies for groups of diseases or patient …

2021 Deep learning Detection of HSIL and LSIL in cervical cancer Phase I-III Internal
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …

Context Automated prostate cancer detection using machine learning technology has led to
speculation that pathologists will soon be replaced by algorithms. This review covers the …