Evidence map›Paper›PMID 37248427›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

On the importance of patient acceptance for medical robotic imaging.

Christine Eilers, Rob van Kemenade, Benjamin Busam, Nassir Navab

Registry-linked trialAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07334964 (Ultrasound-Guided Carpal Tunnel Infiltration), which is not on this 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.

NCT07334964 nacompletednot on this mapstarted 2025, after this paper: background citation

Ultrasound-Guided Carpal Tunnel Infiltration: Comparison Between the Manual Method and a Robot-Assisted Method - A Pilot, Comparative, Randomized Study

TypeinterventionalSponsorCentre Hospitalier Régional d'OrléansRan2025 to 2026Enrolled21ConditionsCarpal Tunnel SyndromeArmsCarpal tunnel injection
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Christine Eilers *Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany. christine.eilers@tum.de.ORCID http://orcid.org/0000-0003-2895-0748
Rob van Kemenade *Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany.
Benjamin BusamChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany.
Nassir NavabChair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Boltzmannstr. 3, Garching near Munich, 85748, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work, therefore, aims at analyzing the influence of robot-patient interactions on acceptance in an exemplary medical robotic imaging system.

methodsWe designed an interactive human-robot scenario, including auditive and gestural cues, and compared this pipeline to a non-interactive scenario. Both scenarios were evaluated through a questionnaire to measure acceptance. Heart rate monitoring was also used to measure stress. The impact of the interaction was quantified in the use case of robotic ultrasound scanning of the neck.

resultsWe conducted the first user study on patient acceptance of robotic ultrasound. Results show that verbal interactions impacts trust more than gestural ones. Furthermore, through interaction, the robot is perceived to be friendlier. The heart rate data indicates that robot-patient interaction could reduce stress.

conclusionsRobot-patient interactions are crucial for improving acceptance in medical robotic imaging systems. While verbal interaction is most important, the preferred interaction type and content are participant dependent. Heart rate values indicate that such interactions can also reduce stress. Overall, this initial work showed that interactions improve patient acceptance in medical robotic imaging, and other medical robot-patient systems can benefit from the design proposals to enhance acceptance in interactive scenarios.

Indexed as

RoboticsRobotic Surgical ProceduresHumansRadiographySurveys and QuestionnairesUltrasonographyAcceptanceHuman–robot interactionMedical robotic imagingTrust

Identifiers

PMID37248427
PMCPMC10329571

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.