An Artificial Intelligence-assisted Diagnostic System Improves Upper Urine Tract Cytology Diagnosis.

Journal: In vivo (Athens, Greece)
PMID: 39477382

Abstract

BACKGROUND/AIM: To evaluate efficacy of the AIxURO system, a deep learning-based artificial intelligence (AI) tool, in enhancing the accuracy and reliability of urine cytology for diagnosing upper urinary tract cancers.

Authors

  • Kang-Yu Chang
    Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, R.O.C.
  • Chi-Shun Yang
    Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Jing-Yi Lai
    Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Shu-Jiuan Lin
    Department of Pathology and Laboratory Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Jian-Ri Li
    Department of Urology, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Tien-Jen Liu
    AIxMed, Inc, Santa Clara, California, USA.
  • Wei-Lei Yang
    AIxMed, Inc, Santa Clara, California, USA.
  • Ming-Yu Lin
    AIxMed, Inc, Santa Clara, California, USA.
  • Cheng-Hung Yeh
    AIxMed, Inc, Santa Clara, California, USA.
  • Shih-Wen Hsu
    AIxMed, Inc, Santa Clara, California, USA.
  • Chih-Jung Chen
    Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan ROC.

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