Evidence map›Paper›PMID 42558135›Full record

ArticleJournal of medical extended reality2025

What Is Old Is New Again-Use of Augmented Reality in Craniometric Point Identification and Neuroanatomy Education.

Joshua Olexa, Nick Caffes, Maureen Rakovec, Jordan R Saadon, Ashish Sharma, Nicole Wenger, Annie Trang, Charles Sansur

Abstract read
In one paragraph

Article in Journal of medical extended reality, 2025. 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

8 authors.

Joshua OlexaDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0009-8524-9799
Nick CaffesDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Maureen RakovecDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Jordan R SaadonDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Ashish SharmaDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Nicole WengerDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Annie TrangDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.
Charles SansurDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional methods of teaching neurosurgery have often been inadequate in capturing the interest of students and maintaining their attention throughout the learning process. Augmented reality (AR) technology has been proposed as a solution to this problem by providing an interactive and immersive experience for students. In this article, we use an AR application on the Microsoft HoloLens 2 to educate students about neuroanatomy, promote greater interest and engagement with the field of neurosurgery, and facilitate communication between students and neurosurgeons. We present an exercise in which the AR application was used to educate high school students on skull-based craniometric landmarks commonly used by neurosurgeons. Students were asked to locate points on the skull with and without the assistance of AR and were surveyed about their experience using AR. The results suggest greater student engagement and a positive learning experience. Students were able to target craniometric points on the skull with greater accuracy using AR than without. Overall, students felt that incorporating AR into their education improved their ability to learn neuroanatomy and increased their interest in the field of neurosurgery. This study provides a pilot feasibility study with findings that suggest that AR has the potential to enhance the way neurosurgery and neuroanatomy are introduced to early learners through increased interaction and engagement.

Indexed as

ARcraniometricseducationheadsetHoloLensneuroanatomy

Identifiers

PMID42558135
PMCPMC13387253

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.