Evidence map›Paper›PMID 42806243›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Evaluation of 5G cellular and Wi-Fi 6 for cable-free surgical navigation using ISO/IEEE 11073 SDC.

Noah Wickel, Philipp Schollmaier, Klaus Radermacher, Armin Janß

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Article in International journal of computer assisted radiology and 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.

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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

4 authors.

Noah WickelChair of Medical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany. wickel@hia.rwth-aachen.de.
Philipp SchollmaierChair of Medical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany.
Klaus RadermacherChair of Medical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany.
Armin JanßChair of Medical Engineering, RWTH Aachen University, Pauwelsstr. 20, 52074, Aachen, Germany.

Funding

Bundesministerium Forschung, Technologie und Raumfahrt 03RU3U02CBundesministerium für Wirtschaft und Klimaschutz 01MJ22009C
6 · The paper itself

Abstract

purposeAs clinics strive for optimal patient safety and surgical outcomes as well as efficient and cost-effective operation, operating rooms have been investigated for workflow disruptions, risks, and inefficiencies. Notably, medical device cabling and tubing has been identified to cause surgical staff to trip and fall or to take detours to avoid them. Wireless devices could alleviate cable-associated risks, but few of them exist in practice as it remains a technical challenge to provide wireless connectivity with the required responsiveness and reliability for demanding applications, such as surgical navigation.

methodsDue to their promise of high reliability and low latency, private 5G networks have been proposed as enablers for wireless medical applications. In this work, the prototype of an interoperable tracking provider employing 5G-SA (stand-alone) and sixth-generation WLAN communications is evaluated regarding latency and reliability.

resultsThe performance using Wi-Fi is improved compared to the first-generation prototype, consistently reporting tracking events below 30/100 ms delay in the average/worst case, respectively. Using 5G-SA, the system can only operate at lower update rates, which causes outliers above 250 ms and experiences congestion as well as connection losses.

conclusionThe latency results using Wi-Fi are improved compared to the previous generation and generally enable navigation as well as other hand-eye coordination-based tasks. However, the tested 5G system does not yet provide the necessary performance required for the surgical navigation task and requires further adjustments of the hardware and software.

Indexed as

5GConnected ORInteroperabilityWi-Fi 6Wireless medical deviceWorkflow enhancement

Identifiers

PMID42806243

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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.