Evidence map›Paper›PMID 41340843›Full record

ArticleJMIR XR and spatial computing2025

Assessing the Feasibility of Using Apple Vision Pro While Performing Medical Precision Tasks: Controlled User Study.

Hamraz Javaheri, Vitor Fortes Rey, Paul Lukowicz, Gregor A Stavrou, Jakob Karolus, Omid Ghamarnejad

Abstract read
In one paragraph

Article in JMIR XR and spatial computing, 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

6 authors.

Hamraz JavaheriDepartment of Embedded Intelligence, German Research Centre for Artificial Intelligence, Trippstadter Str. 122, Kaiserslautern, 67663, Germany, 49 631 20575 4190.ORCID https://orcid.org/0000-0001-5494-0987
Vitor Fortes ReyDepartment of Embedded Intelligence, German Research Centre for Artificial Intelligence, Trippstadter Str. 122, Kaiserslautern, 67663, Germany, 49 631 20575 4190.ORCID https://orcid.org/0000-0002-8371-2921
Paul LukowiczDepartment of Embedded Intelligence, German Research Centre for Artificial Intelligence, Trippstadter Str. 122, Kaiserslautern, 67663, Germany, 49 631 20575 4190.ORCID https://orcid.org/0000-0003-0320-6656
Gregor A StavrouDepartment of General, Visceral, and Oncological Surgery, Klinikum Saarbrücken, Saarbrücken, Germany.ORCID https://orcid.org/0000-0002-6890-4271
Jakob KarolusDepartment of Embedded Intelligence, German Research Centre for Artificial Intelligence, Trippstadter Str. 122, Kaiserslautern, 67663, Germany, 49 631 20575 4190.ORCID https://orcid.org/0000-0002-0698-7470
Omid GhamarnejadDepartment of General, Visceral, and Oncological Surgery, Klinikum Saarbrücken, Saarbrücken, Germany.ORCID https://orcid.org/0000-0001-7424-1323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The emergence of next-generation video-see-through head-mounted displays, such as the Apple Vision Pro (AVP), has generated considerable interest in the medical field. While preliminary studies highlight AVP's potential, no controlled study has rigorously assessed its usability for precision-based medical tasks requiring fine motor control and real-world perception. Objective: This study aims to evaluate the feasibility of using AVP while performing real-world medical precision tasks. Methods: To assess AVP's feasibility, we conducted a controlled user study with 20 health care professionals, who performed 3 different suturing techniques across 3 intervention conditions. Participants completed the same tasks using AVP, the Microsoft HoloLens 2 (MHL2), and a baseline (without a head-mounted display). A within-subject design was used, ensuring that each participant experienced all intervention groups. We used a mixed methods research approach, incorporating both quantitative metrics, including task completion time, suturing performance, system usability score, cognitive load, virtual reality sickness, and presence score, as well as qualitative insights gathered through interviews. Results: Participants took significantly longer to complete the entire task using AVP (570.0, SD 192.0 s) compared with MHL2 (456.0, SD 120.0 s; Conclusions: In conclusion, AVP has potential for non-time-sensitive medical applications or those that emphasize digital elements over real-world interaction. Its current usability limitations, particularly increased cognitive load and prolonged task execution times, suggest that further optimizations are necessary before widespread clinical adoption is feasible.

Indexed as

Apple Vision Proextended realityhead-mounted displayHoloLensprecision task

Identifiers

PMID41340843
PMCPMC12671319

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Registered trials

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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.