Abstract
The aims of this article are to review the historical perspective, current utilization, challenges, and ongoing research in digital pathology and artificial intelligence (AI) applications for urine cytology. A combination of expert opinions as well as current published literature were used to find all relevant information. The expert opinions are mostly based on the author’s research and professional experience as a practicing and board-certified cytopathologist and clinical informaticist. The Curation of literature is based on searchable publications available through Google Scholar and PubMed. The findings revealed relevant historical work as well as how the diversity of cytopathology practice can create significant challenges moving forward with digital pathology and AI. Twenty-six relevant peer reviewed publications collaborated historical and ongoing research efforts in both academic and commercial arenas. The ongoing research and commercial efforts will advance the applications of digital pathology and AI for urine cytology despite many challenges
Published Version
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