Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
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.
M. Usak, M. Kubiatko, M. S. Shabbir, O. V. Dudnik, K. Jermsittiparsert, and L. Rajabion, Health care service delivery based on the Internet of Things: A systematic and comprehensive study, Int. J. Commun. Syst., vol. 33, no. 2, p. e4179, 2020.
J. Phares, D. D. Dobrzykowski, and J. Prohofsky, How policy is shaping the macro healthcare delivery supply chain: The emergence of a new tier of retail medical clinics, Bus. Horiz., vol. 64, no. 3, pp. 333–345, 2021.
K. B. Kim and K. H. Han, A study of the digital healthcare industry in the fourth industrial revolution, Journal of Convergence for Information Technology, vol. 10, no. 3, pp. 7–15, 2020.
M. Karatas, L. Eriskin, M. Deveci, D. Pamucar, and H. Garg, Big data for healthcare industry 4.0: Applications, challenges and future perspectives, Expert Syst. Appl., vol. 200, p. 116912, 2022.
C. W. Lee, Application of metaverse service to healthcare industry: A strategic perspective, Int. J. Environ. Res. Public Heath., vol. 19, no. 20, p. 13038, 2022.
G. J. Hwang and S. Y. Chien, Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective, Comput. Educ. Artif. Intell., vol. 3, p. 100082, 2022.
C. Koo, J. Kwon, N. Chung, and J. Kim, Metaverse tourism: Conceptual framework and research propositions, Curr. News. Tour., vol. 26, no. 20, pp. 3268–3274, 2023.
I. Yaqoob, K. Salah, R. Jayaraman, and M. Omar, Metaverse applications in smart cities: Enabling technologies, opportunities, challenges, and future directions, Internet Things, vol. 23, p. 100884, 2023.
T. Huynh-The, Q. V. Pham, X. Q. Pham, T. T. Nguyen, Z. Han, and D. S. Kim, Artificial intelligence for the metaverse: A survey, Engineering Applications of Artificial Intelligence, vol. 117, p. 105581, 2023.
S. Seo, B. Seok, and C. Lee, Digital forensic investigation framework for the metaverse, J. Supercomput., vol. 79, no. 9, pp. 9467–9485, 2023.
R. Scheiding, Designing the future? The metaverse, NFTs, & the future as defined by unity users, Games Cult., vol. 18, no. 6, pp. 804–820, 2022.
H. Wang, H. Ning, Y. Lin, W. Wang, S. Dhelim, F. Farha, J. Ding, and M. Daneshmand, A survey on the metaverse: The state-of-the-art, technologies, applications, and challenges, IEEE Internet Things J., vol. 10, no. 16, pp. 14671–14688, 2023.
H. Zhang, G. Luo, Y. Li, and F. Y. Wang, Parallel vision for intelligent transportation systems in metaverse: Challenges, solutions, and potential applications, IEEE Trans. Syst. Man Cybern. Syst., vol. 53, no. 6, pp. 3400–3413, 2022.
Z. Lv, L. Qiao, Y. Li, Y. Yuan, and F. Y. Wang, BlockNet: Beyond reliable spatial digital twins to parallel metaverse, Patterns, vol. 3, no. 5, p. 100468, 2022.
S. Y. Kuo, F. H. Tseng, and Y. H. Chou, Metaverse intrusion detection of wormhole attacks based on a novel statistical mechanism, Future Gener. Comput. Syst., vol. 143, pp. 179–190, 2023.
N. H. Chavannes and C. Bai, Welcome to the new era of metaverse in medicine, Clin. eHealth, vol. 5, pp. 37–38, 2022.
P. Zikas, A. Protopsaltis, N. Lydatakis, M. Kentros, S. Geronikolakis, S. Kateros, M. Kamarianakis, G. Evangelou, A. Filippidis, E. Grigoriou, et al., MAGES 4.0: Accelerating the world’s transition to VR training and democratizing the authoring of the medical metaverse, IEEE Comput. Graph. Appl., vol. 43, no. 2, pp. 43–56, 2023.
M. Xu, Y. Guo, Q. Hu, Z. Xiong, D. Yu, and X. Cheng, A trustless architecture of blockchain-enabled metaverse, High Confid. Comput., vol. 3, no. 1, p. 100088, 2023.
Z. Lv, S. Xie, Y. Li, M. S. Hossain, and A. El Saddik, Building the metaverse by digital twins at all scales, state, relation, Virtual Real. Intell. Hardw., vol. 4, no. 6, pp. 459–470, 2022.
T. Braud, L. H. Lee, A. Alhilal, C. B. Fernández, and P. Hui, DiOS—An extended reality operating system for the metaverse, IEEE MultiMedia, vol. 30, no. 2, pp. 70–80, 2023.
Y. Zhou, X. Xiao, G. Chen, X. Zhao, and J. Chen, Self-powered sensing technologies for human metaverse interfacing, Joule, vol. 6, no. 7, pp. 1381–1389, 2022.
T. Huynh-The, T. R. Gadekallu, W. Wang, G. Yenduri, P. Ranaweera, Q. V. Pham, D. B. da Costa, and M. Liyanage, Blockchain for the metaverse: A review, Future Gener. Comput. Syst., vol. 143, pp. 401–419, 2023.
Y. Fu, C. Li, F. R. Yu, T. H. Luan, P. Zhao, and S. Liu, A survey of blockchain and intelligent networking for the metaverse, IEEE Internet Things J., vol. 10, no. 4, pp. 3587–3610, 2023.
N. Xi, J. Chen, F. Gama, M. Riar, and J. Hamari, The challenges of entering the metaverse: An experiment on the effect of extended reality on workload, Inf Syst FRONT, vol. 25, no. 2, pp. 659–680, 2023.
K. Bhugaonkar, R. Bhugaonkar, and N. Masne, The trend of metaverse and augmented & virtual reality extending to the healthcare system, Cureus, vol. 14, no. 9, p. e29071, 2022.
George Lăzăroiu, Immersive virtual reality technologies, 3D data modeling and simulation tools, and artificial intelligence-based diagnostic algorithms on metaverse medical platforms, Am. J. Med. Res., vol. 9, no. 2, p. 57, 2022.
K. Liu, L. Chen, L. Li, H. Ren, and F. Y. Wang, MetaMining: Mining in the metaverse, IEEE Trans. Syst. Man Cybern, Syst., vol. 53, no. 6, pp. 3858–3867, 2023.
E. Dincelli and A. Yayla, Immersive virtual reality in the age of the metaverse: A hybrid-narrative review based on the technology affordance perspective, J. Strateg. Inf. Syst., vol. 31, no. 2, p. 101717, 2022.
H. Lee, D. Woo, and S. Yu, Virtual reality metaverse system supplementing remote education methods: Based on aircraft maintenance simulation, Appl. Sci., vol. 12, no. 5, p. 2667, 2022.
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/).