ReviewFrontiers in bioengineering and biotechnology2026
Artificial intelligence and precision nursing in the operating room: transforming perioperative safety and surgical outcomes.
Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Research Priorities in Perioperative Nursing Across the Lifespan: An e-Delphi Consensus Study.Nursing reports (Pavia, Italy) · 2026Article
- Intelligent technologies in operating room nursing: A bibliometric analysis of research.International journal of nursing studies advances · 2026Article
- Reframing workplace safety, wellbeing, and performance among operating room nurses in contemporary healthcare systems.Frontiers in public health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The operating room represents a high-risk clinical environment where perioperative nurses play a critical role in patient safety, workflow coordination, and surgical outcomes. Recent advances in artificial intelligence (AI) and precision health technologies offer new opportunities to enhance perioperative nursing practice; however, the scope, maturity, and clinical relevance of these applications remain heterogeneous. Objective: This scoping review aimed to map existing evidence on the integration of AI and precision nursing in perioperative and operating room settings, with a focus on nursing roles, clinical applications, outcomes, and implementation challenges. Methods: A scoping review was conducted in accordance with PRISMA-ScR guidelines. A systematic search of PubMed/MEDLINE, Scopus, Web of Science, and CINAHL was performed for studies published between January 2010 and March 2025. Eligible studies examined AI-enabled or technologies relevant to perioperative nursing practice across the preoperative, intraoperative, and postoperative phases. Data were descriptively charted and synthesized to identify key application domains, evidence levels, and research gaps. Results: A total of 72 studies met the inclusion criteria. The AI applications identified included predictive analytics for perioperative risk stratification, real-time intraoperative monitoring and decision support, computer-vision-based workflow and sterility surveillance, automated documentation, robotic assistance, and postoperative remote monitoring. Evidence suggests potential benefits in early complication detection, workflow efficiency, and support for nursing decision-making. However, most studies were pilot or observational in nature, with limited large-scale clinical validation. Ethical considerations, data governance, workforce readiness, and integration into nursing workflows emerged as recurring challenges. Conclusion: AI-enabled precision nursing represents a promising approach to enhancing perioperative safety and surgical outcomes. Current evidence supports AI as a complementary tool that augments, rather than replaces, clinical judgment and nursing expertise. Further high-quality nursing-focused research, standardized evaluation frameworks, and ethically grounded implementation strategies are required to support safe and sustainable integration into perioperative practice.
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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.