Evidence map›Paper›PMID 41960212›Full record

ReviewFrontiers in surgery2026

Orthopedic surgery assisted by mixed reality technology: systematic review.

Lucia Salazar Carrasco, Juan A Sánchez-Margallo, Francisco M Sánchez-Margallo

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 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

3 authors.

Lucia Salazar CarrascoBioengineering and Health Technologies Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
Juan A Sánchez-MargalloBioengineering and Health Technologies Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
Francisco M Sánchez-MargalloScientific Direction, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed Reality (MR) in the healthcare field provides innovative tools for training, diagnosis, and treatment. It allows professionals to practice surgical procedures in a controlled, risk-free environment, improving skill and reducing error margins, thus offering a more interactive and personalized option for patients. MR aids in the detailed visualization of bone structures and tissues, enabling more precise planning. To conduct this systematic review, a rigorous and structured approach was followed to identify, evaluate, and synthesize relevant studies on the application of MR in orthopedic surgery. The following keywords and combinations were used: "Extended Reality", "Mixed Reality", "Orthopedic Surgery", and "Surgical Planner" in PubMed and Web of Science over the last 10 years. Studies included in this review met the following exclusion criteria: articles that did not use these technologies, studies on other types of surgery, or were review articles. MR has opened new possibilities in the field of surgery, transforming both the training of medical professionals and the surgical interventions themselves. While there are still challenges in its widespread implementation, the benefits it offers in terms of precision, personalization, and efficiency are undeniable. As this technology continues to evolve, it is expected to have an even greater impact on the medicine of the future, making surgeries safer and improving patient outcomes.

Indexed as

extended realitymixed realityMR-assisted surgeryorthopedic surgerysurgical planner

Identifiers

PMID41960212
PMCPMC13057350

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.