医疗保健领域的 Metaverse:技术、挑战和愿景

Q2 Decision Sciences International Journal of Crowd Science Pub Date : 2023-12-22 DOI:10.26599/IJCS.2023.9100020
Yihong Yang;Zhangbing Zhou;Xiaocui Li;Xiao Xue;Patrick C. K. Hung;Sami Yangui
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引用次数: 0

摘要

生活条件的不断提高,对医疗卫生服务提出了更高的要求。当前的医疗模式虽然得到了一定程度的改善,但仍然存在医疗资源短缺、医疗效率低下、医疗技术水平有限等严峻挑战。元宇宙可以为解决传统医疗领域的这些问题提供一种新的机制,从而提高医疗服务的质量。一般来说,元宇宙是一个动态反馈系统,可促进虚拟世界与物理世界之间的协作与共存。通过促进虚拟世界中智能代理之间的协作和进化,可以在数字领域重建这种相互依存关系的知识。这样,现实世界中存在的问题就可以在数字空间中得到抽象和表现,并在数字空间中建立模型和进行计算实验。获得的结果可以动态地指导或控制现实世界中策略的执行,而现实世界的执行结果则作为动态数据输入,不断更新虚拟世界的模型。此外,本文还总结了元宇宙在不同医疗应用场景中的研究现状,强调了面临的挑战和愿景,并希望对该领域的进一步研究有所启发。
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Metaverse for Healthcare: Technologies, Challenges, and Vision
The continuous enhancement of living conditions imposes higher requirements for medical and healthcare services. Although improved to a certain extent, there still exist critical challenges in current medical pattern, such as the shortage of medical resources, inefficient medical treatment, and limited medical technology level. The metaverse can offer a novel mechanism to address these problems in traditional healthcare domain, and thus, to enhance the quality of medical services. Generally, the metaverse is a dynamic feedback system that facilitates the collaboration and coexistence between the virtual and physical worlds. By fostering collaboration and evolution between intelligent agents in the virtual world, knowledge of this interdependence can be reconstructed in the digital realm. This allows problems existed in the real world to be abstracted and represented in the digital space, where models can be established and computational experiments can be conducted. The outcomes obtained can dynamically guide or control the execution of strategies in the real world, with real-world execution results serving as dynamic data inputs to continually update the virtual world's model. In addition, this paper summarizes the current research status of different healthcare application scenarios for metaverse, highlights the challenges and vision, and aims to inspire further research in this field.
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来源期刊
International Journal of Crowd Science
International Journal of Crowd Science Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.70
自引率
0.00%
发文量
20
审稿时长
24 weeks
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