Evidence map›Paper›PMID 41952533›Full record

ArticleJournal of Korean Neurosurgical Society2026

Extended Reality in Neurosurgery : Surgical Planning, Navigation, Education, and Patient Communication.

Tae Hoon Roh, Seonah Choi, Ju Hyung Moon, Eui Hyun Kim, Seok-Gu Kang, Jong Hee Chang

Abstract read
In one paragraph

Article in Journal of Korean Neurosurgical Society, 2026. 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. Editors' Pick in May 2026.Journal of Korean Neurosurgical Society · 2026
    Article
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

6 authors.

Tae Hoon RohDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Seonah ChoiDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Ju Hyung MoonDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Eui Hyun KimDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Seok-Gu KangDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Jong Hee ChangDepartment of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Funding

Institute for Information & Communications Technology Planning & Evaluation IITP-2025-2020-0-01461Ministry of Science and ICTMinistry of Trade, Industry and Energy RS-2025-02221011National Research Foundation of Korea RS-2023-00253964
6 · The paper itself

Abstract

Extended reality (XR), encompassing virtual reality, augmented reality (AR), and mixed reality, has emerged as a transformative technology in neurosurgery. This narrative review examines the current applications of XR technologies across four major domains : surgical planning and visualization, intraoperative navigation, medical education and training, and patient/caregiver communication. The integration of artificial intelligence-based lesion segmentation with XR platforms has enabled precise three-dimensional visualization of complex intracranial pathologies. Modern AR navigation systems, utilizing both optical see-through and video see-through head-mounted displays, have demonstrated submillimeter accuracy in recent clinical studies. Educational applications of XR have shown significant improvements in anatomical understanding and surgical skill acquisition among neurosurgery trainees. Furthermore, XR-enhanced patient communication tools have improved comprehension of complex neurosurgical procedures and informed consent quality. Despite current limitations including hardware constraints, workflow integration challenges, and the need for larger validation studies, XR technologies hold substantial promise for advancing pediatric neurosurgical care. This review provides a critical analysis of current evidence, discusses the advantages and limitations of different XR modalities, and offers perspectives on future developments in this rapidly evolving field.

Indexed as

Artificial intelligenceAugmented realityNeurosurgeryPatient educationPediatricsVirtual reality

Identifiers

PMID41952533
PMCPMC13172778

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.