Flexible ureteroscopy in renal anomalies: an explainable AI model for surgical outcome prediction from EAU endourology - Takeaways - MDSpire

Flexible ureteroscopy in renal anomalies: an explainable AI model for surgical outcome prediction from EAU endourology

  • By

  • Carlotta Nedbal

  • Vineet Gauhar

  • Sairam Adithya

  • Nithesh Naik

  • Shilpa Gite

  • Het Sevalia

  • Daniele Castellani

  • Andrea Gregori

  • Frédéric Panthier

  • Yiloren Tanidir

  • Anil Shrestha

  • Vikram Sridharan

  • Abhishek Singh

  • Boyke Soebhali

  • Mohamed Amine Lakmichi

  • Saeed Biin Hamri

  • Bhaskar Kumar Somani

  • September 2, 2025

  • 0 min

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  • 1

    Flexible ureteroscopy (fURS) is effective for managing renal calculi but poses challenges in patients with congenital renal anomalies.

  • 2

    Anatomical variations in renal anomalies complicate access and may lower success rates for stone clearance during fURS.

  • 3

    Explainable AI (XAI) models can enhance surgical outcome predictions by clarifying the contributions of individual features.

  • 4

    The study analyzed 569 cases, revealing a stone-free rate of 72.06% at 3-month follow-up after fURS in patients with renal anomalies.

  • 5

    Complications included significant haematuria in 34 patients and postoperative sepsis in 53 patients, highlighting the procedure's risks.

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