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

Journal: Cancer cytopathology
PMID: 35727052

Abstract

BACKGROUND: The Paris System for Reporting Urinary Cytology (TPS) has been shown to improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and improve the clinical workflow by applying TPS in routine diagnostic services.

Authors

  • Yen-Chuan Ou
    Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan, R.O.C. Division of Urology, Department of Surgery, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan, R.O.C. School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C. ycou228@gmail.com.
  • Tang-Yi Tsao
    Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan.
  • Ming-Chen Chang
    Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan.
  • Yi-Sheng Lin
    Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung City, Taiwan.
  • Wei-Lei Yang
    AIxMed, Inc, Santa Clara, California, USA.
  • Jen-Fan Hang
    Division of Cytopathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Chi-Bin Li
    AIxMed, Inc., Santa Clara, California, USA.
  • Ching-Ming Lee
    AIxMed, Inc., Santa Clara, California, USA.
  • Cheng-Hung Yeh
    AIxMed, Inc, Santa Clara, California, USA.
  • Tien-Jen Liu
    AIxMed, Inc, Santa Clara, California, USA.

Keywords

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