Will artificial intelligence (AI) replace cytopathologists: a scoping review of current applications and evidence of A.I. in urine cytology.

Journal: World journal of urology
PMID: 40167778

Abstract

PURPOSE: Urine cytology, while valuable in facilitating the detection and surveillance of bladder cancer, has notable limitations. The application of artificial intelligence (AI) in urine cytology holds significant promise for improving diagnostic accuracy and efficiency. Our scoping review aims to assess the current evidence of AI's utility in urine cytology.

Authors

  • Jingqiu Li
    Department of Urology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
  • Tsung Wen Chong
    Department of Urology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
  • Khi Yung Fong
    Yong Loo Lin School of Medicine, National University of Singapore, Urology, Singapore, Singapore.
  • Benjamin Lim Jia Han
    Ministry of Health Holdings, Singapore, Singapore.
  • Si Ying Tan
    Alexandra Research Centre for Healthcare in a Virtual Environment, Alexandra Hospital, Singapore, Singapore.
  • Joanne Tan San Mui
    Department of Urology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
  • Li Yan Khor
    Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, Singapore, Singapore.
  • Bhaskar Kumar Somoni
    University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Thomas R W Herrmann
    Kantonspital Frauenfeld, Spital Thurgau AG, Frauenfeld, Switzerland.
  • Vineet Gauhar
    Endourology Section, European Association of Urology, Arnhem, The Netherlands.
  • Valerie Gan Huei Li
    Department of Urology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
  • Christopher Cheng Wai Sam
    Department of Urology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
  • Ee Jean Lim
    Department of Urology, Singapore General Hospital, Singapore, Singapore. Electronic address: eejeanlim@gmail.com.

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