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

To predict outcomes of flexible ureteroscopy (fURS) for urolithiasis in patients with congenital renal anomalies using explainable AI models, emphasizing the importance of interpretability in clinical settings.

Key Findings:
  • 78.56% of patients were deemed stone-free on-table, with a 72.06% stone-free rate at 3-month follow-up, indicating the effectiveness of fURS in this population.
  • 34 patients experienced significant haematuria, and 16 operations were abandoned due to complications, highlighting the risks involved.
  • The majority of patients had horseshoe kidneys (50.62%), with a high prevalence of multiple, small, and soft stones, which may influence treatment strategies.
Interpretation:

The use of explainable AI can improve clinical decision-making in complex cases of fURS by identifying key predictors of surgical outcomes, thus enhancing the ability to tailor interventions to individual patient needs.

Limitations:
  • Retrospective nature of the study may introduce bias; future studies should consider prospective designs.
  • Limited generalizability due to the specific patient population and centers involved; expanding the study to diverse settings could enhance applicability.
Conclusion:

Explainable AI models can provide valuable insights for managing fURS in patients with renal anomalies, potentially enhancing surgical outcomes and informing clinical practice.

Original Source(s)

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

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