Evidence map›Paper›PMID 42326298›Full record

ArticleCureus2026

Exploring the Use of Artificial Intelligence-Enhanced Virtual Reality in Teaching and Evaluating Communication Skills in Urology: A Pilot Study.

Mohammed Saad, Aleece Warner, Alfred Brunt, Shahid Khan

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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.

Mohammed SaadUrology, Barts Health NHS Trust, London, GBR.
Aleece WarnerUrology, Barts Health NHS Trust, London, GBR.
Alfred BruntUrology, Barts Health NHS Trust, London, GBR.
Shahid KhanUrology, Barts Health NHS Trust, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective communication is a core competency in healthcare, yet traditional training methods often face limitations in realism, scalability, and learner engagement. This study evaluated the perceptions of healthcare professionals regarding the use of artificial intelligence (AI)-enhanced virtual reality (VR) simulations for communication skills training in urology.

methodsA total of 45 healthcare professionals (N = 45) participated in a haematuria role-play simulation using AI-enhanced VR via Bodyswaps© software. Participants completed pre- and post-simulation questionnaires using a standard five-point Likert scale to measure perceptions of the potential of AI-VR to improve communication skills, usefulness, agreement with AI-generated feedback, realism compared to clinical practice, and overall enjoyability. Although Likert-scale responses are ordinal, they were treated as approximately interval data for statistical analysis. Descriptive statistics and one-sample t-tests against the neutral midpoint (3.0) were conducted to assess whether participant perceptions differed significantly from neutrality, with significance set at α = 0.05.

resultsPrior to the simulation, participants (n = 23, 51.11%) reported belief in the potential of AI-VR to improve communication skills by responding above the neutral midpoint (M = 3.844 ± 0.9034). Post-simulation, participants (n = 40, 88.89%) showed increased perceptions of usefulness (M = 4.636 ± 0.6851). High levels of agreement with AI-generated feedback were reported by participants (n = 35, 77.78%) (M = 4.2 ± 0.9195), and participants (n = 40, 88.89%) rated the simulation as useful (M = 4.5 ± 0.6949). Regarding realism, participants (n = 34, 73.33%) rated the simulation positively (M = 4.159 ± 0.9135), and participants (n = 41, 91.11%) found the experience enjoyable (M = 4.465 ± 0.8549). All results reached statistical significance (p < 0.0001).

conclusionThe findings suggest that AI-enhanced VR simulations have potential as effective and engaging tools for communication skills training in urology. The positive responses across all measured domains support further integration of immersive AI technologies into clinical education.

Indexed as

artificial intelligence in healthcarecomunicationteaching technologyurology researchvirtual reality simulation

Identifiers

PMID42326298
PMCPMC13281027

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.