Evidence map›Paper›PMID 42518026›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Enhancing trust in healthcare robotics: implications derived from medical professionals' perspectives.

Nina Müller, Esra Islertas, David Daniel Ebert, Albrecht Schmidt, Dirk Wilhelm

Abstract read
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In one paragraph

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.

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

5 authors.

Nina MüllerResearch Group MITI, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany. nin.mueller@tum.de.ORCID http://orcid.org/0009-0001-1671-5591
Esra IslertasResearch Group MITI, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0009-0000-0708-9472
David Daniel EbertChair of Psychology and Digital Mental Health Care, Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0001-6820-0146
Albrecht SchmidtChair for Human-Centered Ubiquitous Media, Media Informatics Group, Ludwig Maximilian University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-3890-1990
Dirk WilhelmResearch Group MITI, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2972-9802

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt (DE) 16SV9465
6 · The paper itself

Abstract

purposeTrust is essential for effective teamwork in healthcare, enhancing staff performance, psychological well-being, and the quality of care. With rising workloads and global nursing staff shortages, technologies like robotic systems become increasingly relevant. This contribution examines trust-influencing factors in human-robot interaction in the medical domain.

methodsTo identify implications for our robotic system KIRA-med, we conducted a structured literature search in accordance with PRISMA guidelines. PubMed, IEEE Xplore, and Scopus were searched from January 2015 to December 2025 to identify studies investigating medical staff's trust in robotic systems. Studies including medical staff like nurses or physicians that reported trust while interacting with a robotic system in the clinical context were included.

resultsThree studies were included, primarily evaluating humanoid or telepresence robots with small cohorts in short-term, controlled laboratory settings. Trust was measured using diverse questionnaires and scales, often as a secondary outcome rather than the primary focus. Identified system requirements to foster trust included introducing the robot to the staff, providing training, and employing expressive cues.

conclusionBuilding trust between medical staff and robotic systems is crucial for their effective use. Trust research on robotic systems such as KIRA-med can help to streamline workflows, reduce staff burden, and free time for direct patient care, enhancing overall care quality.

Indexed as

HealthcareHuman–robot interactionPatient wardSurgical departmentTrust

Identifiers

What OpenQuestion holds

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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.