Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.

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Bibliographic Details
Title: Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study.
Authors: Ou YC; Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan., Tsao TY; Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan., Chang MC; Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan., Lin YS; Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan., Yang WL; AIxMed, Inc., Santa Clara, California, USA., Hang JF; Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.; School of Medicine and Institution of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Li CB; AIxMed, Inc., Santa Clara, California, USA., Lee CM; AIxMed, Inc., Santa Clara, California, USA., Yeh CH; AIxMed, Inc., Santa Clara, California, USA., Liu TJ; AIxMed, Inc., Santa Clara, California, USA.
Source: Cancer cytopathology [Cancer Cytopathol] 2022 Nov; Vol. 130 (11), pp. 872-880. Date of Electronic Publication: 2022 Jun 21.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 101499453 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1934-6638 (Electronic) Linking ISSN: 1934662X NLM ISO Abbreviation: Cancer Cytopathol Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1934-6638
DOI:10.1002/cncy.22615