关键词: Bibliometric Robotics Simulation Training Visualization

Mesh : Robotic Surgical Procedures / education statistics & numerical data Bibliometrics Simulation Training / methods Humans Curriculum Clinical Competence / statistics & numerical data Learning Curve

来  源:   DOI:10.1007/s11701-024-02076-5

Abstract:
Simulation-based robotic surgery training may help surgeons gain operative skills and experience in the simulation environment. This bibliometric analysis examined the development of simulation-based training for robotic surgical education. Articles pertaining to robotic surgical simulation training that were included in the Web of Science Core Collection up to April 25, 2024, were included. The temporal patterns in published paper numbers were evaluated using Microsoft Excel software, and the data regarding co-authorship and keyword co-occurrence were analyzed and visualized using the VOSviewer and SCImago Graphica tools. A total of 594 papers on simulation-based training for robotic surgical education were evaluated in this study. The United States and United Kingdom were the leading contributors in this field. The most published authors were Professor Ahmed Kamran (23 publications) and Prokar Dasgupta (22 publications). The highest number of papers was published in the journal titled \"Surgical Endoscopy and Other Interventional Techniques.\" The most common keywords were \"virtual reality,\" \"curriculum,\" \"robotic surgery simulator,\" \"assessment,\" and \"learning curve.\" Our study offers a detailed overview of international research on simulation-based training for robotic surgical education, including the publishing countries, institutions, authors, journals, and research hotspots. It also methodically summarizes the state of knowledge in the area, and provides definite directions and concepts for further in-depth analysis.
摘要:
基于模拟的机器人手术培训可以帮助外科医生在模拟环境中获得操作技能和经验。此文献计量分析研究了用于机器人手术教育的基于模拟的培训的开发。包含了截至2024年4月25日的WebofScience核心合集中与机器人手术模拟训练有关的文章。使用MicrosoftExcel软件评估已发表论文编号中的时间模式,并使用VOSviewer和SCImagoGraphica工具对有关共同作者身份和关键词共现的数据进行了分析和可视化。本研究共评估了594篇基于模拟的机器人手术教育培训论文。美国和联合王国是这一领域的主要贡献者。发表最多的作者是AhmedKamran教授(23种出版物)和ProkarDasgupta(22种出版物)。论文数量最多的是发表在题为“外科内窥镜检查和其他介入技术”的杂志上。最常见的关键词是“虚拟现实”,\"\"课程,\"\"机器人手术模拟器,\"\"评估,\"和\"学习曲线。“我们的研究提供了关于机器人手术教育的基于模拟的培训的国际研究的详细概述,包括出版国家,机构,作者,期刊,和研究热点。它还有条不紊地总结了该领域的知识状况,并为进一步深入分析提供了明确的方向和概念。
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