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

Journal: Cancer cytopathology
PMID: 39003588

Abstract

BACKGROUND: This study evaluated the diagnostic effectiveness of the AIxURO platform, an artificial intelligence-based tool, to support urine cytology for bladder cancer management, which typically requires experienced cytopathologists and substantial diagnosis time.

Authors

  • Tien-Jen Liu
    AIxMed, Inc, Santa Clara, California, USA.
  • Wen-Chi Yang
    Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
  • Shin-Min Huang
    Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan.
  • Wei-Lei Yang
    AIxMed, Inc, Santa Clara, California, USA.
  • Hsing-Ju Wu
    Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan.
  • Hui Wen Ho
    Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan.
  • Shih-Wen Hsu
    AIxMed, Inc, Santa Clara, California, USA.
  • Cheng-Hung Yeh
    AIxMed, Inc, Santa Clara, California, USA.
  • Ming-Yu Lin
    AIxMed, Inc, Santa Clara, California, USA.
  • Yi-Ting Hwang
    Department of Statistics, National Taipei University, Taipei, Taiwan.
  • Pei-Yi Chu
    Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan.

Keywords

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