Objectives To develop a classification system for urine cytology with artificial intelligence (AI)
using a convolutional neural network algorithm that classifies urine cell images as negative …

Background Unlike Papanicolaou tests, there are no commercially available computer‐
assisted automated screening systems for urine specimens. Despite The Paris System for …

Background: Although deep learning systems (DLS) have been developed to diagnose
urine cytology, more evidences are required to prove if such systems can predict …

Background Urine cytology, although a useful screening method for urothelial carcinoma,
lacks sensitivity. As an emerging technology, artificial intelligence (AI) improved image …

Background Although deep learning algorithms for clinical cytology have recently been
developed, their application to practical assistance systems has not been achieved. In …

Simple Summary In this study, we aimed to investigate the use of deep learning for
classifying whole-slide images of urine liquid-based cytology specimens into neoplastic and …

Urine cytology is a test for the detection of high‐grade bladder cancer. In clinical practice,
the pathologist would manually scan the sample under the microscope to locate atypical and …

Background The Paris System for Reporting Urinary Cytology (TPS) has been shown to
improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and …

Background Urine cytology is commonly used as a screening test for high‐grade urothelial
carcinoma for patients with risk factors or hematuria and is an essential step in longitudinal …

Background Urine cytology is an important non-invasive examination for urothelial
carcinoma (UC) diagnosis and follow-up. We aimed to explore whether artificial intelligence …