Does artificial intelligence redefine nuclear-to-cytoplasmic ratio threshold for diagnosing high-grade urothelial carcinoma?

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Title: Does artificial intelligence redefine nuclear-to-cytoplasmic ratio threshold for diagnosing high-grade urothelial carcinoma?
Authors: Yang WL; AIxMed, Inc, Santa Clara, California, USA., Crothers BA; AIxMed, Inc, Santa Clara, California, USA., Liu TJ; AIxMed, Inc, Santa Clara, California, USA., Hsu SW; AIxMed, Inc, Santa Clara, California, USA., Yeh CH; AIxMed, Inc, Santa Clara, California, USA., Liu YS; AIxMed, Inc, Santa Clara, California, USA., Shao G; AIxMed, Inc, Santa Clara, California, USA., Lin MY; AIxMed, Inc, Santa Clara, California, USA., Tsao TY; Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan., Tung MC; Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan., Chu PY; Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan., Hang JF; Division of Cytopathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; School of Medicine and Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Source: Cancer cytopathology [Cancer Cytopathol] 2025 May; Vol. 133 (5), pp. e70017.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 101499453 Publication Model: Print Cited Medium: Internet ISSN: 1934-6638 (Electronic) Linking ISSN: 1934662X NLM ISO Abbreviation: Cancer Cytopathol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1934-6638
DOI:10.1002/cncy.70017