ReviewWorld journal of urology2025
Current utility of artificial intelligence in benign prostate surgery: a review of literature on behalf of the EAU section of endourology.
Review in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The future of endourology is now.World journal of urology · 2026Article
- Artificial intelligence and machine learning approaches for patient safety in complex surgery: a review.Patient safety in surgery · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveArtificial intelligence (AI) and its subsects, such as machine learning (ML) and virtual reality (VR) are subject to great interest from the urological community, and gaining space in the surgical treatment of benign prostatic hyperplasia (BPH). With this review, we aim to explore the current applications and their impact in BPH surgery. MATERIALS AND
methodsA literature review was performed according to the PRISMA guidelines, searching online databases for eligible studies on the role of AI and subsets in different BPH surgery, including enucleation, resection and vaporisation of the prostate using various energy sources. This review was registered in PROSPERO (CRD42024606550).
resultsThe search and screening process retrieved 19 eligible studies, that were separated in two major categories. The first, on real-life applications, included 6 studies on ML prediction of postoperative outcomes and complications, with special regards to intraoperative bleeding, and the use of telemetry. The second group included 13 studies on the role of VR for training. The findings consistently reported on the efficacy of VR simulators in improving efficiency and reporting better performance for the most expert participants. VR fidelity and safety was unanimously rated as good.
conclusionsOur review reveals that advanced techniques like ML and VR simulators improve BPH treatment, surgical training, and procedural safety. VR-based training enhances performance and reduces complications, effectively differentiating trainee expertise levels. As VR technology evolves, it is set to become integral to urological education, boosting outcomes and patient safety.
Indexed as
Identifiers
41144029What OpenQuestion holds
Registered trials
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.