AI in Perioperative Nursing: Scoping Review of 72 Studies from 2010-2025

A scoping review of 72 studies mapping the integration of artificial intelligence and precision nursing in operating room settings. The dataset was created by Li Gong and last updated in April 2026. It synthesizes evidence on clinical applications, outcomes, and implementation challenges from studies published between January 2010 and March 2025.

Use Cases

• Analyze trends in AI application domains for perioperative nursing based on the review's identified categories like predictive analytics and robotic assistance.
• Assess the maturity and evidence levels of AI tools in clinical settings based on the review's findings on pilot studies and validation.
• Identify research gaps and implementation challenges for nursing-focused AI based on the synthesized ethical and workflow considerations.

Strengths

• Includes 72 studies meeting inclusion criteria, providing a defined scope.
• Systematic search was performed across four major databases (PubMed/MEDLINE, Scopus, Web of Science, CINAHL).
• Follows PRISMA-ScR guidelines for scoping reviews, indicating a structured methodology.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 14.3 KB, indicating a very limited scope likely containing only summary or charted data.

Provenance

Source

figshare

Collection Method

Scoping review with systematic search and descriptive charting.

Time Range

Studies published between January 2010 and March 2025.

Freshness

Last updated 2026-04-10 05:58:27

Geography

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