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Artificial Intelligence in Genitourinary Pathology: A Translational Readiness Map
0
Zitationen
4
Autoren
2026
Jahr
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.
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