Inflammation indexes and machine-learning algorithm in predicting urethroplasty success.

Journal: Investigative and clinical urology
PMID: 38714514

Abstract

PURPOSE: To assess the predictive capability of hematological inflammatory markers for urethral stricture recurrence after primary urethroplasty and to compare traditional statistical methods with a machine-learning-based artificial intelligence algorithm.

Authors

  • Emre Tokuc
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye. emretokuc@gmail.com.
  • Mithat Ekşi
    Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Ridvan Kayar
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Samet Demir
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Ramazan Topaktas
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Yavuz Bastug
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Mehmet Akyuz
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.
  • Metin Ozturk
    Urology Clinic, Haydarpasa Numune SUAM, University of Health Sciences, Istanbul, Türkiye.

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