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The Metaverse in Prevention and Treatment of Disease

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The Metaverse for the Healthcare Industry

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Abstract

The idea of the metaverse has captured the imagination of technologists, futurists, and researchers globally, announcing a brand new generation in human interplay and virtual immersion. As this virtual realm keeps to adapt, its ability programs make bigger far past amusement and social connectivity. This chapter explores the groundbreaking capacity of the metaverse within the realm of disorder prevention and remedy, shedding mild at the transformative effect it is able to have on health care. The metaverse, an expansive, interconnected virtual universe wherein customers can engage with every other and virtual environments, has the capability to revolutionize health-care practices. This chapter delves into how the metaverse can serve as an effective device for ailment prevention. By developing immersive, educational studies, it may teach people about health risks, sell healthy behaviors, and beautify public fitness cognizance. Moreover, the potential of the metaverse to facilitate real-time records sharing and evaluation enables early detection of disease outbreaks, improving international preparedness against pandemics. In the field of ailment treatment, the metaverse provides latest technology for telemedicine and remote patient monitoring. Patients also benefit from improved access to healthcare services, fostering a patient-centric approach to treatment. Furthermore, the role of the metaverse in medical studies can’t be understated. Collaborative virtual laboratories and simulations allow researchers to accelerate drug discovery, simulate sickness progression, and conduct behavior experiments without physical constraints. This hastens breakthroughs and reduces the time and fee related to drug improvement. Moral and privacy concerns are crucial issues in the health-care applications of the metaverse. This bankruptcy examines the challenges of making sure records safety, patient confidentiality, and knowledgeable consent in the metaverse framework. It additionally discusses the capability for bias and discrimination in digital health-care settings and descriptions techniques to mitigate those problems. As we delve deeper into the possibilities of the metaverse for disorder prevention and treatment, it’s far essential to apprehend that its integration into health care isn’t without its demanding situations. This chapter offers insights into the technological, moral, and regulatory hurdles that have to be addressed to harness the whole ability of the metaverse in health care. The metaverse as a consequence gives a transformative opportunity to revolutionize disease prevention and treatment, providing unparalleled possibilities for education, studies, and patient care. But, its integration into health care would require careful attention of the related ethical and logistical complexities. This chapter serves as a comprehensive exploration of the position of the metaverse in reshaping the future of health care, presenting a glimpse into the exciting possibilities and demanding situations on the horizon.

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References

  1. Mitra, A., Roy, U., & Tripathy, B. K. (2022). IoMT in healthcare industry – Concepts and applications. In B. K. Tripathy, P. Lingras, A. K. Kar, & C. L. Chowdhary (Eds.), Next generation healthcare informatics, studies in computational intelligence (Vol. 1039). Springer. https://doi.org/10.1007/978-981-19-2416-3_8

    Chapter  Google Scholar 

  2. Tripathy, B. K., Chiranjilal, L. C., Kar, A. K., & Lingras, P. (2022). Next generation healthcare informatics (Springer AISC series). Springer.

    Book  Google Scholar 

  3. Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497.

    Article  Google Scholar 

  4. Mejia, J. M. R., & Rawat, D. B. (2022, July). Recent advances in a medical domain metaverse: Status, challenges, and perspective. In 2022 thirteenth international conference on ubiquitous and future networks (ICUFN) (pp. 357–362). IEEE.

    Google Scholar 

  5. Thomason, J. (2021). Metahealth-how will the metaverse change health care? Journal of Metaverse, 1(1), 13–16.

    Google Scholar 

  6. Mohanty, R. K., & Tripathy, B. K. (2022). Decision-making in healthcare Nanoinformatics. In B. K. Tripathy, P. Lingras, A. K. Kar, & C. L. Chowdhary (Eds.), Next generation healthcare informatics, studies in computational intelligence (Vol. 1039). Springer. https://doi.org/10.1007/978-981-19-2416-3_6

    Chapter  Google Scholar 

  7. Jain, A., Goel, I., Maheshwari, S., & Tripathy, B. K. (2022). Contemporary technologies to combat pandemics and epidemics. In B. K. Tripathy, P. Lingras, A. K. Kar, & C. L. Chowdhary (Eds.), Next generation healthcare informatics. Studies in computational intelligence (Vol. 1039). Springer. https://doi.org/10.1007/978-981-19-2416-3_11

    Chapter  Google Scholar 

  8. Tan, T. F., Li, Y., Lim, J. S., Gunasekeran, D. V., Teo, Z. L., Ng, W. Y., & Ting, D. S. (2022). Metaverse and virtual health care in ophthalmology: Opportunities and challenges. The Asia-Pacific Journal of Ophthalmology, 11(3), 237–246.

    Article  Google Scholar 

  9. Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009). Digital disease detection – Harnessing the web for public health surveillance. The New England Journal of Medicine, 360(21), 2153.

    Article  Google Scholar 

  10. Randazzo, G., Reitano, G., Carletti, F., Iafrate, M., Betto, G., Novara, G., et al. (2023). Urology: A trip into metaverse. World Journal of Urology, 1–11.

    Google Scholar 

  11. Gruson, D., Greaves, R., Dabla, P., Bernardini, S., Gouget, B., & Öz, T. K. (2023). A new door to a different world: Opportunities from the metaverse and the raise of meta-medical laboratories. Clinical Chemistry and Laboratory Medicine (CCLM).

    Google Scholar 

  12. Fernandez, C. B., & Hui, P. (2022, July). Life, the metaverse and everything: An overview of privacy, ethics, and governance in metaverse. In 2022 IEEE 42nd international conference on distributed computing systems workshops (ICDCSW) (pp. 272–277). IEEE.

    Google Scholar 

  13. Kshetri, N. (2022). Policy, ethical, social, and environmental considerations of Web3 and the metaverse. IT Professional, 24(3), 4–8.

    Article  Google Scholar 

  14. Wang, G., Badal, A., Jia, X., Maltz, J. S., Mueller, K., Myers, K. J., et al. (2022). Development of metaverse for intelligent healthcare. Nature Machine Intelligence, 4(11), 922–929.

    Article  Google Scholar 

  15. Solaiman, B. (2023). Telehealth in the metaverse: Legal & ethical challenges for cross-border care in virtual worlds. Journal of Law, Medicine & Ethics, 51(2), 287–300.

    Article  Google Scholar 

  16. Kerdvibulvech, C. (2022, June). Exploring the impacts of COVID-19 on digital and metaverse games. In International conference on human-computer interaction (pp. 561–565). Springer.

    Google Scholar 

  17. Jiaxin, L., & Gongjing, G. (2022, June). Socializing in the metaverse: The innovation and challenge of interpersonal communication. In 2022 8th international conference on humanities and social science research (ICHSSR 2022) (pp. 2128–2131). Atlantis Press.

    Google Scholar 

  18. Contreras, G. S., González, A. H., Fernández, M. I. S., Martínez, C. B., Cepa, J., & Escobar, Z. (2022). The importance of the application of the metaverse in education. Modern Applied Science, 16(3), 1–34.

    Article  Google Scholar 

  19. Kliestik, T., Novak, A., & Lăzăroiu, G. (2022). Live shopping in the metaverse: Visual and spatial analytics, cognitive artificial intelligence techniques and algorithms, and immersive digital simulations. Linguistic and Philosophical Investigations, 21, 187–202.

    Article  Google Scholar 

  20. Dionisio, J. D. N., Iii, W. G. B., & Gilbert, R. (2013). 3D virtual worlds and the metaverse: Current status and future possibilities. ACM Computing Surveys (CSUR), 45(3), 1–38.

    Article  Google Scholar 

  21. Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: Possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18, 32. Balica, R. Ş., Majerová, J., & Cuţitoi, A. C. (2022). Metaverse applications, technologies, and infrastructure: Predictive algorithms, real-time customer data analytics, and virtual navigation tools. Linguistic and Philosophical Investigations, 21, 219–235.

    Article  Google Scholar 

  22. Leenes, R. (2007). Privacy in the metaverse: Regulating a complex social construct in a virtual world. In IFIP international Summer School on the future of identity in the information society (pp. 95–112). Springer US.

    Google Scholar 

  23. Yeung, A. W. K., Tosevska, A., Klager, E., Eibensteiner, F., Laxar, D., Stoyanov, J., & Willschke, H. (2021). Virtual and augmented reality applications in medicine: Analysis of the scientific literature. Journal of Medical Internet Research, 23(2), e25499.

    Article  Google Scholar 

  24. Zeng, Y., Zeng, L., Zhang, C., & Cheng, A. S. (2022). The metaverse in cancer care: Applications and challenges. Asia-Pacific Journal of Oncology Nursing, 9(12).

    Google Scholar 

  25. Liu, Z., Ren, L., Xiao, C., Zhang, K., & Demian, P. (2022). Virtual reality aided therapy towards health 4.0: A two-decade bibliometric analysis. International Journal of Environmental Research and Public Health, 19(3), 1525.

    Article  Google Scholar 

  26. Al-Jaroodi, J., Mohamed, N., & Abukhousa, E. (2020). Health 4.0: On the way to realizing the healthcare of the future. IEEE Access, 8, 211189–211210.

    Article  Google Scholar 

  27. Mesko, B. (2022). The promise of the metaverse in cardiovascular health. European Heart Journal, 43(28), 2647–2649. https://doi.org/10.1093/eurheartj/ehac231

    Article  Google Scholar 

  28. Skalidis, I., Muller, O., & Fournier, S. (2022). CardioVerse: The cardiovascular medicine in the era of metaverse. Trends in Cardiovascular Medicine.

    Google Scholar 

  29. King, C. E., & Sarrafzadeh, M. (2018). A survey of smartwatches in remote health monitoring. Journal of Healthcare Informatics Research, 2, 1–24.

    Article  Google Scholar 

  30. Tripathy, B. K., Parimala, B., & Thippa Reddy, G. (2021). Prediction of diseases using innovative classification and regression models. In S. S. Roy et al. (Eds.), Data analytics in biomedical engineering and healthcare (pp. 179–203). Academic Press. https://doi.org/10.1016/B978-0-12-819314-3.00012-4

    Chapter  Google Scholar 

  31. Jat, A. S., & Grønli, T. M. (2022, June). Smart watch for smart health monitoring: A literature review. In International work-conference on bioinformatics and biomedical engineering (pp. 256–268). Springer.

    Chapter  Google Scholar 

  32. Debon, R., Coleone, J. D., Bellei, E. A., & De Marchi, A. C. B. (2019). Mobile health applications for chronic diseases: A systematic review of features for lifestyle improvement. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 13(4), 2507–2512.

    Article  Google Scholar 

  33. Amagai, S., Pila, S., Kaat, A. J., Nowinski, C. J., & Gershon, R. C. (2022). Challenges in participant engagement and retention using mobile health apps: Literature review. Journal of Medical Internet Research, 24(4), e35120.

    Article  Google Scholar 

  34. Isakadze, N., & Martin, S. S. (2020). How useful is the smartwatch ECG? Trends in Cardiovascular Medicine, 30(7), 442–448.

    Article  Google Scholar 

  35. Chapman, J. R., Wang, J. C., & Wiechert, K. (2022). Into the spine metaverse: Reflections on a future metaspine (uni-)verse. Global Spine Journal, 12(4), 545–547.

    Article  Google Scholar 

  36. Zhang, Y., Xing, Y., Li, C., Hua, Y., Hu, J., Wang, Y., et al. (2022). Mirror therapy for unilateral neglect after stroke: A systematic review. European Journal of Neurology, 29(1), 358–371.

    Article  Google Scholar 

  37. Schuelke, S., Aurit, S., Connot, N., & Denney, S. (2019). Virtual nursing: The new reality in quality care. Nursing Administration Quarterly, 43(4), 322–328.

    Article  Google Scholar 

  38. Wiederhold, B. K. (2022). Metaverse games: Game changer for healthcare? Cyberpsychology, Behavior, and Social Networking, 25(5), 267–269.

    Article  Google Scholar 

  39. Usmani, S. S., Sharath, M., & Mehendale, M. (2022). Future of mental health in the metaverse. General Psychiatry, 35(4).

    Google Scholar 

  40. Ensor, J. R., & Carraro, G. U. (1998). Peloton: A distributed simulation for the world wide web. Simulation Series, 30, 159–166.

    Google Scholar 

  41. Carraro, G. U., Cortes, M., Edmark, J. T., & Ensor, J. R. (1998, February). The peloton bicycling simulator. In Proceedings of the third symposium on virtual reality modeling language (pp. 63–70).

    Google Scholar 

  42. Petrigna, L., & Musumeci, G. (2022). The metaverse: A new challenge for the healthcare system: A scoping review. Journal of Functional Morphology and Kinesiology, 7(3), 63.

    Article  Google Scholar 

  43. Zhang, C., Feng, S., He, R., Fang, Y., & Zhang, S. (2022). Gastroenterology in the Metaverse: The dawn of a new era? Frontiers in Medicine, 9, 904566.

    Article  Google Scholar 

  44. Suh, I., McKinney, T., & Siu, K. C. (2023, April). Current perspective of metaverse application in medical education, research and patient care. In Virtual worlds (Vol. 2, No. 2, pp. 115–128). MDPI.

    Google Scholar 

  45. Çerçi, P., & Kendirlinan, R. (2022). Can metaverse provide any new developments in the field of allergy and immunology? International Archives of Allergy and Immunology, 183(10), 1060–1061.

    Article  Google Scholar 

  46. Thomason, J. (2022). Metaverse, token economies, and non-communicable diseases. Global Health Journal, 6(3), 164–167.

    Article  Google Scholar 

  47. Ali, S., Abdullah, Armand, T. P. T., Athar, A., Hussain, A., Ali, M., et al. (2023). Metaverse in healthcare integrated with explainable AI and blockchain: Enabling immersiveness, ensuring trust, and providing patient data security. Sensors, 23(2), 565.

    Article  Google Scholar 

  48. Chengoden, R., Victor, N., Huynh-The, T., Yenduri, G., Jhaveri, R. H., Alazab, M., et al. (2023). Metaverse for healthcare: A survey on potential applications, challenges and future directions. IEEE Access.

    Google Scholar 

  49. Yang, D., Zhou, J., Song, Y., Sun, M., & Bai, C. (2022). Metaverse in medicine. Clinical eHealth, 5, 39–43.

    Article  Google Scholar 

  50. Sun, M., Xie, L., Liu, Y., Li, K., Jiang, B., Lu, Y., et al. (2022). The metaverse in current digital medicine. Clinical eHealth.

    Google Scholar 

  51. Lee, S. H., Lee, Y. E., & Lee, S. W. (2022, February). Toward imagined speech based smart communication system: Potential applications on metaverse conditions. In 2022 10th international winter conference on brain-computer interface (BCI) (pp. 1–4). IEEE.

    Google Scholar 

  52. Tang, F., Chen, X., Zhao, M., & Kato, N. (2022). The roadmap of communication and networking in 6G for the metaverse. IEEE Wireless Communications.

    Google Scholar 

  53. Okegbile, S. D., Cai, J., Yi, C., & Niyato, D. (2022). Human digital twin for personalized healthcare: Vision, architecture and future directions. IEEE Network.

    Google Scholar 

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Authors and Affiliations

  1. School of Computer Science Engineering and Information Systems, Vellore Institute ofTechnology, Vellore, Tamil Nadu, India

    Dhruv Sompura & B. K. Tripathy

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  1. Dhruv Sompura
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Correspondence to B. K. Tripathy .

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  1. School of Computer Science Engineering & Information Systems, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Chiranji Lal Chowdhary

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Sompura, D., Tripathy, B.K. (2024). The Metaverse in Prevention and Treatment of Disease. In: Chowdhary, C.L. (eds) The Metaverse for the Healthcare Industry. Springer, Cham. https://doi.org/10.1007/978-3-031-60073-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-60073-9_9

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