Management of complex renal stones in horseshoe kidney using real-time intrarenal pressure monitoring with artificial intelligence in retrograde intrarenal surgery: A case report

Retrograde intrarenal surgery (RIRS) in horseshoe kidneys is technically challenging due to altered anatomy and unstable intrarenal pressure (IRP). We report a case of a 45-year-old male with complex renal stones in a horseshoe kidney managed using artificial intelligence (AI)-assisted real-time IRP monitoring during RIRS. The AI system dynamically regulated irrigation and suction to maintain IRP within a safe range (∼30 mmHg), improving intraoperative visibility and procedural control. Stone clearance was achieved without complications. This case highlights the feasibility and potential safety benefits of AI-assisted IRP monitoring in anatomically complex kidneys.

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Publication Details

Journal
Urology Case Reports
Published
2026-02-04
DOI
https://doi.org/10.1016/j.eucr.2026.103366
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
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article

Management of complex renal stones in horseshoe kidney using real-time intrarenal pressure monitoring with artificial intelligence in retrograde intrarenal surgery: A case report

Armand Achmadsyah, Gerhard Reinaldi Situmorang, Nur Rasyid, Favian Ariiq Rahmat et al.
Urology Case Reports
Kidney Stones and Urolithiasis Treatments
article

Management of complex renal stones in horseshoe kidney using real-time intrarenal pressure monitoring with artificial intelligence in retrograde intrarenal surgery: A case report

Armand Achmadsyah, Gerhard Reinaldi Situmorang, Nur Rasyid, Favian Ariiq Rahmat, Ponco Birowo, Nadhif Faza Ananda, Mukhlis Akmal Taher, Widi Atmoko
article en

Abstract

Retrograde intrarenal surgery (RIRS) in horseshoe kidneys is technically challenging due to altered anatomy and unstable intrarenal pressure (IRP). We report a case of a 45-year-old male with complex renal stones in a horseshoe kidney managed using artificial intelligence (AI)-assisted real-time IRP monitoring during RIRS. The AI system dynamically regulated irrigation and suction to maintain IRP within a safe range (∼30 mmHg), improving intraoperative visibility and procedural control. Stone clearance was achieved without complications. This case highlights the feasibility and potential safety benefits of AI-assisted IRP monitoring in anatomically complex kidneys.

Urology Case ReportsVol. 65
University of Indonesia (ID), Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo (ID)
Good health and well-being
Openalex Percentile: Top 70%
Kidney Stones and Urolithiasis Treatments
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