PDF(Pubmed)
Abstract：
BACKGROUND: Virtual reality (VR), widely used in the medical field, may affect future medical training and treatment. Therefore, this study examined VR\'s potential uses and research directions in medicine.
METHODS: Citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate VR in medicine in articles published between 1 January 2012 and 31 December 2023. These data were analyzed using CiteSpace 6.2. R2 software. Present limitations and future opportunities were summarized based on the data.
RESULTS: A total of 2143 related publications from 86 countries and regions were analyzed. The country with the highest number of publications is the USA, with 461 articles. The University of London has the most publications among institutions, with 43 articles. The burst keywords represent the research frontier from 2020 to 2023, such as \"task analysis\", \"deep learning\", and \"machine learning\".
CONCLUSIONS: The number of publications on VR applications in the medical field has been steadily increasing year by year. The USA is the leading country in this area, while the University of London stands out as the most published, and most influential institution. Currently, there is a strong focus on integrating VR and AI to address complex issues such as medical education and training, rehabilitation, and surgical navigation. Looking ahead, the future trend involves integrating VR, augmented reality (AR), and mixed reality (MR) with the Internet of Things (IoT), wireless sensor networks (WSNs), big data analysis (BDA), and cloud computing (CC) technologies to develop intelligent healthcare systems within hospitals or medical centers.
METHODS: Citation data were downloaded from the Web of Science Core Collection database (WoSCC) to evaluate VR in medicine in articles published between 1 January 2012 and 31 December 2023. These data were analyzed using CiteSpace 6.2. R2 software. Present limitations and future opportunities were summarized based on the data.
RESULTS: A total of 2143 related publications from 86 countries and regions were analyzed. The country with the highest number of publications is the USA, with 461 articles. The University of London has the most publications among institutions, with 43 articles. The burst keywords represent the research frontier from 2020 to 2023, such as \"task analysis\", \"deep learning\", and \"machine learning\".
CONCLUSIONS: The number of publications on VR applications in the medical field has been steadily increasing year by year. The USA is the leading country in this area, while the University of London stands out as the most published, and most influential institution. Currently, there is a strong focus on integrating VR and AI to address complex issues such as medical education and training, rehabilitation, and surgical navigation. Looking ahead, the future trend involves integrating VR, augmented reality (AR), and mixed reality (MR) with the Internet of Things (IoT), wireless sensor networks (WSNs), big data analysis (BDA), and cloud computing (CC) technologies to develop intelligent healthcare systems within hospitals or medical centers.
摘要：
背景：虚拟现实（VR），广泛应用于医疗领域，可能会影响未来的医疗培训和治疗。因此,这项研究探讨了VR在医学中的潜在用途和研究方向。
方法：从WebofScienceCoreCollection数据库（WoSCC）下载引文数据，用于在2012年1月1日至2023年12月31日发表的文章中评估医学中的VR。使用CiteSpace6.2分析这些数据。R2软件。根据数据总结了当前的局限性和未来的机会。
结果：共分析了来自86个国家和地区的2143篇相关出版物。出版物数量最多的国家是美国，461条伦敦大学拥有最多的机构出版物，43条。突发关键词代表2020年至2023年的研究前沿，如“任务分析”，\"深度学习\",和“机器学习”。
结论：关于VR在医学领域的应用的出版物数量逐年稳步增长。美国是这方面的领先国家,虽然伦敦大学是出版最多的大学，最有影响力的机构。目前,重点是整合VR和AI，以解决医学教育和培训等复杂问题，康复,和手术导航。展望未来,未来的趋势是整合VR，增强现实(AR)和混合现实(MR)与物联网(IoT)，无线传感器网络(WSN)，大数据分析(BDA)和云计算（CC）技术，以开发医院或医疗中心内的智能医疗保健系统。
方法：从WebofScienceCoreCollection数据库（WoSCC）下载引文数据，用于在2012年1月1日至2023年12月31日发表的文章中评估医学中的VR。使用CiteSpace6.2分析这些数据。R2软件。根据数据总结了当前的局限性和未来的机会。
结果：共分析了来自86个国家和地区的2143篇相关出版物。出版物数量最多的国家是美国，461条伦敦大学拥有最多的机构出版物，43条。突发关键词代表2020年至2023年的研究前沿，如“任务分析”，\"深度学习\",和“机器学习”。
结论：关于VR在医学领域的应用的出版物数量逐年稳步增长。美国是这方面的领先国家,虽然伦敦大学是出版最多的大学，最有影响力的机构。目前,重点是整合VR和AI，以解决医学教育和培训等复杂问题，康复,和手术导航。展望未来,未来的趋势是整合VR，增强现实(AR)和混合现实(MR)与物联网(IoT)，无线传感器网络(WSN)，大数据分析(BDA)和云计算（CC）技术，以开发医院或医疗中心内的智能医疗保健系统。
