Evidence map›Paper›PMID 41567590›Full record

ArticleFrontiers in robotics and AI2025

A feasibility study: a non-inferiority study comparing head-mounted and console-based virtual reality for robotic surgery training.

Kazuho Kawashima, Shadi Ghali, Justin W Collins, Ali Esmaeili

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Kazuho KawashimaDivision of Surgery & Interventional Science, University College London, London, United Kingdom.
Shadi GhaliDepartment of Plastic and Reconstructive Surgery, Royal Free NHS Foundation Trust, London, United Kingdom.
Justin W CollinsDivision of Surgery & Interventional Science, University College London, London, United Kingdom.
Ali EsmaeiliDepartment of Plastic and Reconstructive Surgery, Royal Free NHS Foundation Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Head-mounted virtual reality (VR) simulations are increasingly explored in healthcare, particularly in patient education, stroke rehabilitation, and surgical training. While VR-based simulation plays a growing role in robotic-assisted surgery (RAS) training, the implications of head-mounted VR in this context remain underexamined. Method: This prospective, randomised, controlled trial with a single-arm crossover compared two training modalities: a head-mounted VR simulation and a conventional console-based simulation. Participants in the experimental group used head-mounted VR as their primary training method, while the control group trained on a conventional console. Both groups completed a running suture task at baseline, midterm, and final assessments on the surgical console. The primary outcome was the composite score from the final assessment. Results: Fourteen participants were equally distributed between the two arms. Baseline scores showed no significant differences. A two-way repeated measures ANOVA demonstrated significant overall improvement across assessments (F (1.688, 20.26) = 48.34, p < 0.001, partial η Conclusion: Both head-mounted VR and console-based training significantly improved fundamental RAS skills in novices. While our study showed that the VR training shortened the time and attempts required to reach proficiency benchmarks, the small scale of this trial and the breadth of the confidence intervals mean the results should be viewed as preliminary observations. These results provide an initial signal of feasibility that warrants confirmation in larger studies.

Indexed as

robotic assisted surgerysurgical educationtechnologyVersiusvirtual reality

Identifiers

PMID41567590
PMCPMC12816980

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Registered trials

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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.