Prediction of spontaneous distal ureteral stone passage using artificial intelligence.

Journal: International urology and nephrology
PMID: 38340263

Abstract

PURPOSE: Identifying factors predicting the spontaneous passage of distal ureteral stones and evaluating the effectiveness of artificial intelligence in prediction.

Authors

  • Tugay Aksakalli
    Department of Urology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey. tugay_daydreamer@hotmail.com.
  • Isil Karabey Aksakalli
    Department of Computer Engineering, Erzurum Technical University, Erzurum, Turkey.
  • Ahmet Emre Cinislioglu
    Department of Urology and University of Health Sciences, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.
  • Adem Utlu
    Department of Urology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.
  • Saban Oguz Demirdogen
    Deparment of Urology, Ataturk University, Erzurum, Turkey.
  • Feyzullah Celik
    Department of Urology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.
  • Ibrahim Karabulut
    Department of Urology and University of Health Sciences, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.

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