Evidence map›Paper›PMID 42729479›Full record

ArticleFrontiers in digital health2026

Next viewer-development of a software for the spatial computing data glasses apple vision pro for patient-specific preoperative planning and navigation.

Conrad Günther, Dirk Winkler, Svenja Jung, Martin Hoffmann, Katharina Scheidt, Fabian Kropla, Erdem Güresir, Ronny Grunert

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

Conrad GüntherDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Dirk WinklerDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Svenja JungDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Martin HoffmannDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Katharina ScheidtDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Fabian KroplaDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Erdem GüresirDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.
Ronny GrunertDepartment of Neurosurgery, University Hospital Leipzig, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the clinical utility of Methods: A complete translational workflow was established, encompassing the segmentation of high-resolution CT/MRI scans into patient-specific 3D models and their integration into the spatial computing environment. The software leverages integrated eye- and hand-tracking to enable controller-free interaction, including 3D model manipulation, surgical trajectory drawing, and multiplanar finger-navigation. A systematic clinical evaluation was conducted with 15 experienced neurosurgeons. User satisfaction regarding user-friendliness, surgical planning benefits, system stability, and visualization quality was assessed utilizing a Likert-scale questionnaire ranging from -2 (strongly disagree) to +2 (strongly agree). Results: The application successfully facilitated intuitive, real-time manipulation of complex anatomical models, utilizing transparencies to visualize underlying critical structures. The finger-navigation feature-providing immediate crosshair updates in corresponding coronal, sagittal, and axial planes-was identified as a unique selling point for spatial orientation. Furthermore, the collaboration mode enabled synchronized, multi-user case discussions. The systematic evaluation yielded a highly positive total score of +1.7. Surgeons specifically highlighted the controller-free interaction and the exceptional graphical resolution as significant advantages over legacy visualization systems. Conclusions: Controller-free spatial computing via the Apple Vision Pro significantly enhances neurosurgical preoperative planning. By improving real-time spatial awareness and enabling seamless interactive simulations, the nextViewer app bridges the gap between theoretical augmented reality concepts and practical clinical application. The system demonstrates strong potential to become a standard tool in neurosurgery, establishing a robust foundation for future integration with telemedicine and advanced surgical navigation.

Indexed as

computer assisted surgerymixed realityneurosurgerypreoperative planningspatial computing

Identifiers

PMID42729479
PMCPMC13562247

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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.