Artificial Intelligence in Genitourinary Pathology: A Translational Readiness Map

Journal of Clinical and Translational Pathology 2026 Open access

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Authors: Ankush Patel, Amanda Dy, Anil V. Parwani, Swati Satturwar
DOI: 10.14218/jctp.2025.00056
Cited by: 0
References: 43

Abstract

Artificial intelligence (AI) translation in genitourinary (GU) pathology has progressed unevenly across organs and tasks. This review addresses a central clinical question: which GU pathology AI applications are deployment-ready, which require further validation, and what frameworks can guide safe implementation? We synthesize evidence across GU organs and introduce pragmatic translation frameworks to guide deployment and prioritize translational research.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in cancer detection Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Journal of Clinical and Translational Pathology
Volume
000
Issue
000
Pages
000–000
Publication date
13 March 2026
Language
EN