ArticleAmerican journal of translational research2024
Artificial intelligence-based perioperative safety verification system improved the performance of surgical safety verification execution.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- Artificial Intelligence in Minimally Invasive and Robotic Gastrointestinal Surgery: Major Applications and Recent Advances.Journal of personalized medicine · 2026Review
- Perioperative nursing process-oriented bundled interventions and digital monitoring for the prevention of surgical site infections.Frontiers in medicine · 2026Review
- Best Practices for Surgical Safety in Orthopaedics: A Comprehensive Review of Checklist Implementation.Cureus · 2025Review
- Transforming Surgery With Artificial Intelligence: An Early Analysis of Private Industry Trends.Cureus · 2025Article
- Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025Article
- Artificial intelligence in ophthalmology: opportunities, challenges, and ethical considerations.Medical hypothesis, discovery & innovation ophthalmology journal · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the application effect of the artificial intelligence-based (AI-based) perioperative safety verification system in the performance of safety verification execution in urological and general surgeries.
methodsThe surgical checklists of 141 urological and general surgical patients from September to December 2019 in Hangzhou Children's Hospital were selected as the control group, and 71 surgical checklists for urological and general surgeries that the applied AI-based perioperative safety verification system from August to September 2022 were chosen as the experimental group. We compared the execution rate and standardization rate of safety verification as well as the satisfaction of surgeons, nurses, and anesthesiologists between the two groups.
resultsThe execution rate and standardization rate of surgical safety verification in the experimental group were higher than those in the control group (both P<0.05). In addition, the satisfaction of surgeons, nurses, and anesthesiologists was also higher in the experimental group (all P<0.05).
conclusionThe AI-based perioperative safety verification system can improve the execution and standardization rates of surgical verifications, and also enhance the satisfaction of surgical participants.
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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.