Enhancing urothelial carcinoma diagnosis with artificial intelligence-integrated urine cytology: Biopsy-validated accuracy and efficiency gain.

Sigfred Lajara¹, Jacqueline Cuda¹, Daniel L Geisler¹, Caroline Staniszewski¹, Wei-Lei Yang², Karen Atkison², Chih-Yun Lin², Guowei Shao², Tien-Jen Liu², Barbara Crothers², Rajiv Dhir¹, Samer N Khader¹

¹Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.

²AIxMed, Inc, Santa Clara, California, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its performance depends heavily on expert cytologists and time-intensive glass slide review. Artificial intelligence (AI)-assisted digital cytology has emerged as a potential solution to improve diagnostic sensitivity and workflow efficiency. This retrospective study aimed to evaluate the diagnostic performanc…

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