Evidence map›Paper›PMID 42178428›Full record

ArticleJournal of robotic surgery2026

Extended reality and emerging artificial intelligence in orthopedic surgical training: a scoping review of educational outcomes.

Valentina Merino Molina, Rafael Andrés Barrera Medina, Johana Stefania Martínez Mora, Erwin Hernando Hernández Rincón

Abstract readScoping Review
In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Valentina Merino MolinaPrimary care physician, Universidad de La Sabana, Chía, Colombia.ORCID http://orcid.org/0000-0003-0687-6153
Rafael Andrés Barrera MedinaPrimary care physician, Universidad de La Sabana, Chía, Colombia.ORCID http://orcid.org/0009-0009-5176-184X
Johana Stefania Martínez MoraPrimary care physician, Universidad de La Sabana, Chía, Colombia.ORCID http://orcid.org/0009-0003-7913-1387
Erwin Hernando Hernández RincónDepartment of Family Medicine and Public Health, Universidad de La Sabana, Chía, Colombia. erwinhr@unisabana.edu.co.ORCID http://orcid.org/0000-0002-7189-5863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reality (XR) and artificial intelligence (AI) applications remain heterogeneous. To map the educational applications, learner populations, outcome measures, and research gaps related to the use of XR and emerging AI tools in orthopedic surgical training. A scoping review was conducted following Joanna Briggs Institute methodology and reported according to PRISMA-ScR guidelines. PubMed, Scopus, and ScienceDirect were searched for English and Spanish studies published between 2015 and 2025. Fifty-four studies involving 3,066 participants were included. Virtual reality (VR) was the predominant modality (83.3%), followed by augmented reality (31.4%), while AI-based applications were infrequently reported. XR-based training was most commonly evaluated in trauma surgery, arthroscopy, and arthroplasty, primarily among medical students and residents. Most studies reported improvements in simulation-based technical performance metrics, whereas evidence on clinical outcomes, long-term skill retention, and cost-effectiveness was limited. XR-particularly VR-represents the most mature immersive technology in orthopedic surgical education. AI applications remain emergent and primarily supportive. Future research should prioritize standardized outcome measures, multicenter designs, and evaluation of long-term educational and clinical impact.

Indexed as

Artificial IntelligenceAugmented RealityOrthopedic ProceduresOrthopedicsVirtual RealityClinical CompetenceHumansAugmented realityLearningMixed realityOrthopedics and traumatologySurgical trainingVirtual reality

Identifiers

PMID42178428
PMCPMC13199212

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.