Evidence map›Paper›PMID 41696016›Full record

ArticleUrology case reports2026

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

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PubMed Full text at PMC Publisher
In one paragraph

Article in Urology case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Armand AchmadsyahDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Favian Ariiq RahmatDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Nadhif Faza AnandaFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Mukhlis Akmal TaherFaculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Gerhard Reinaldi SitumorangDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Widi AtmokoDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Nur RasyidDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Ponco BirowoDepartment of Urology, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial intelligenceComplex renal stonesHorseshoe kidneyIntrarenal pressureretrograde intrarenal surgery

Identifiers

PMID41696016
PMCPMC12906101

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.