ArticleJournal of robotic surgery2025
Robotic surgical nurses' perceptions of artificial intelligence: a qualitative study.
Article in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Artificial intelligence and machine learning approaches for patient safety in complex surgery: a review.Patient safety in surgery · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study aimed to explore robotic surgical nurses' perceptions and experiences of artificial intelligence (AI) and to reveal their views on its impact on professional roles and care processes.
methodsA qualitative research design using thematic analysis was employed. Data were collected through face-to-face interviews with 13 robotic surgical nurses between September and December 2024. Data analysis was conducted in six steps using thematic analysis. The Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines were followed.
resultsFour main themes emerged from the analysis: (1) The effects of AI on robotic surgical nursing, (2) AI from the perspective of robotic surgical nurses, (3) The impact of AI on patients, and (4) The process of adapting to AI. Participants stated that AI could facilitate care processes and improve patient safety; however, they expressed concerns that it may not adequately address the subjective aspects of care, such as human touch and empathy.
conclusionsWhile robotic surgical nurses generally view AI positively as a supportive tool, they are concerned that the technology may overshadow professional roles and reduce the quality of human-centered care. Ongoing training and institutional support were emphasized as key to facilitating adaptation to AI.
Indexed as
Identifiers
41144102What OpenQuestion holds
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.