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Open Access

Metaverse for Healthcare: Technologies, Challenges, and Vision

School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences (Beijing), Beijing 100083, China
Computer Science Department, TELECOM SudParis, Evry 91011, France
School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China
Faculty of Business and Information Technology, Ontario Tech University, Oshawa L1G0C5, Canada
LAAS-CNRS, University of Toulouse, Toulouse 31013, France
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Abstract

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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International Journal of Crowd Science
Pages 190-199

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Cite this article:
Yang Y, Zhou Z, Li X, et al. Metaverse for Healthcare: Technologies, Challenges, and Vision. International Journal of Crowd Science, 2023, 7(4): 190-199. https://doi.org/10.26599/IJCS.2023.9100020

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Received: 21 June 2023
Revised: 02 September 2023
Accepted: 18 September 2023
Published: 22 December 2023
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).