{"title":"A bibliometric analysis of perioperative medicine and artificial intelligence.","authors":"Luke Kar Man Chan, Brooke Perrin Mao, Rebecca Zhu","doi":"10.1177/17504589251320811","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence holds the potential to transform perioperative medicine by leveraging complex datasets to predict risks and optimise patient management in response to rising surgical volumes and patient complexity.</p><p><strong>Aim: </strong>This bibliometric analysis aims to analyse trends, contributions, collaborations and research hotspots in artificial intelligence and perioperative medicine.</p><p><strong>Methods: </strong>A Scopus search on 11 October 2024 identified articles on artificial intelligence in perioperative medicine. Relevant peer-reviewed studies were screened by two reviewers, with a third resolving discrepancies. Data were analysed using VOSviewer, Biblioshiny and Microsoft Excel.</p><p><strong>Results: </strong>A total of 240 articles were included; 84% of articles were published after 2018, indicating rapid recent growth. The United States, China and Italy led contributions. Single-country publications comprised 76.6% of the dataset, reflecting limited international collaboration. Key research areas included perioperative risk prediction, intraoperative monitoring, blood management and echocardiography.</p><p><strong>Conclusion: </strong>Artificial intelligence in perioperative medicine is rapidly advancing but requires increased international collaboration to fully realise its potential.</p>","PeriodicalId":35481,"journal":{"name":"Journal of perioperative practice","volume":" ","pages":"17504589251320811"},"PeriodicalIF":1.2000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of perioperative practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/17504589251320811","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Artificial intelligence holds the potential to transform perioperative medicine by leveraging complex datasets to predict risks and optimise patient management in response to rising surgical volumes and patient complexity.
Aim: This bibliometric analysis aims to analyse trends, contributions, collaborations and research hotspots in artificial intelligence and perioperative medicine.
Methods: A Scopus search on 11 October 2024 identified articles on artificial intelligence in perioperative medicine. Relevant peer-reviewed studies were screened by two reviewers, with a third resolving discrepancies. Data were analysed using VOSviewer, Biblioshiny and Microsoft Excel.
Results: A total of 240 articles were included; 84% of articles were published after 2018, indicating rapid recent growth. The United States, China and Italy led contributions. Single-country publications comprised 76.6% of the dataset, reflecting limited international collaboration. Key research areas included perioperative risk prediction, intraoperative monitoring, blood management and echocardiography.
Conclusion: Artificial intelligence in perioperative medicine is rapidly advancing but requires increased international collaboration to fully realise its potential.
期刊介绍:
The Journal of Perioperative Practice (JPP) is the official journal of the Association for Perioperative Practice (AfPP). It is an international, peer reviewed journal with a multidisciplinary ethos across all aspects of perioperative care. The overall aim of the journal is to improve patient safety through informing and developing practice. It is an informative professional journal which provides current evidence-based practice, clinical, management and educational developments for practitioners working in the perioperative environment. The journal promotes perioperative practice by publishing clinical research-based articles, literature reviews, topical discussions, advice on clinical issues, current news items and product information.