Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis.

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Bibliographic Details
Title: Evaluating artificial intelligence-enhanced digital urine cytology for bladder cancer diagnosis.
Authors: Liu TJ; AIxMed, Inc., Santa Clara, California, USA., Yang WC; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.; Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan., Huang SM; Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan., Yang WL; AIxMed, Inc., Santa Clara, California, USA., Wu HJ; Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan., Ho HW; Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan., Hsu SW; AIxMed, Inc., Santa Clara, California, USA., Yeh CH; AIxMed, Inc., Santa Clara, California, USA., Lin MY; AIxMed, Inc., Santa Clara, California, USA., Hwang YT; Department of Statistics, National Taipei University, Taipei, Taiwan., Chu PY; Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.; Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan.; School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.; National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
Source: Cancer cytopathology [Cancer Cytopathol] 2024 Nov; Vol. 132 (11), pp. 686-695. Date of Electronic Publication: 2024 Jul 14.
Publication Type: Journal Article; Evaluation Study; Research Support, Non-U.S. Gov't
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.22884