Evidence map›Paper›PMID 40518703›Full record

ArticleNeurourology and urodynamics2025

Envisioning the Future of AI in Urodynamics: Exploratory Interviews With Experts.

Catharina Margaretha van Leersum, Andrew Gammie, Enrico Finazzi Agrò, Kevin Rademakers

Abstract read
In one paragraph

Article in Neurourology and urodynamics, 2025. 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

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.

2 · The registry

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Catharina Margaretha van LeersumFaculty of Humanities, Open Universiteit, Heerlen, The Netherlands.ORCID https://orcid.org/0000-0002-1003-0794
Andrew GammieBristol Urological Institute, Southmead Hospital, Bristol, UK.ORCID https://orcid.org/0000-0001-5546-357X
Enrico Finazzi AgròUrology Unit, Tor Vergata University Hospital, Rome, Italy.ORCID https://orcid.org/0000-0002-0308-8824
Kevin RademakersDepartment of Urology, Zuyderland Medical Center, Sittard-Heerlen, Heerlen, The Netherlands.ORCID https://orcid.org/0000-0002-5281-6920

Funding

The authors received no specific funding for this work.
6 · The paper itself

Abstract

backgroundUrodynamics monitors various parameters while the urinary bladder fills and empties, to diagnose functional or anatomic disorders of the lower urinary tract. It is an invasive and complex test with technical challenges, and it needs rigorous quality assessment and training of clinicians to avoid misdiagnosis. Applying AI to urodynamic pattern recognition and noisy data signals seems promising.

aimTo understand desirable and appropriate applications, this study aims to explore the envisioned future of AI in urodynamics according to experts in AI and/or urodynamics.

methodTen semi-structured interviews were conducted to explore expectations, trust and possibilities of AI in urodynamics. Content analysis with an inductive approach was performed on all data.

resultsThe analysis resulted in seven overarching themes: difficulties with urodynamics, quality of urodynamics, AI will be supportive, development and training of AI systems, desirable outcomes, challenges, and envisioning the future of AI in urodynamics. DISCUSSION AND

conclusionIn the vision of experts, urodynamics practices will change with the introduction of AI. In the beginning, clinicians will probably desire to check AI-made outcomes of UDS tests to gain trust the system. After experiencing the value of these systems, clinicians might let the system independently provide suggested UDS analyses, and they will use more of their time to spend on their patients.

Indexed as

Artificial IntelligenceDiagnostic Techniques, UrologicalUrodynamicsHumansInterviews as TopicacceptanceArtificial Intelligence (AI)Decision supportfutureurodynamics

Identifiers

PMID40518703
PMCPMC12264460

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LicenceCC BY-NC-ND
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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.