Cited by 285Blockchain Technology Applications and SecurityArtificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security

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Ali, Sikandar, Abdullah, Armand, Tagne Poupi Theodore, Athar, Ali, Hussain, Ali, Ali, Maisam, Yaseen, Muhammad, Joo, Moon-Il +1 more·2023·Sensors

Abstract

Digitization and automation have always had an immense impact on healthcare. It embraces every new and advanced technology. Recently the world has witnessed the prominence of the metaverse which is an emerging technology in digital space. The metaverse has huge potential to provide a plethora of health services seamlessly to patients and medical professionals with an immersive experience. This paper proposes the amalgamation of artificial intelligence and blockchain in the metaverse to provide better, faster, and more secure healthcare facilities in digital space with a realistic experience. Our proposed architecture can be summarized as follows. It consists of three environments, namely the doctor’s environment, the patient’s environment, and the metaverse environment. The doctors and patients interact in a metaverse environment assisted by blockchain technology which ensures the safety, security, and privacy of data. The metaverse environment is the main part of our proposed architecture. The doctors, patients, and nurses enter this environment by registering on the blockchain and they are represented by avatars in the metaverse environment. All the consultation activities between the doctor and the patient will be recorded and the data, i.e., images, speech, text, videos, clinical data, etc., will be gathered, transferred, and stored on the blockchain. These data are used for disease prediction and diagnosis by explainable artificial intelligence (XAI) models. The GradCAM and LIME approaches of XAI provide logical reasoning for the prediction of diseases and ensure trust, explainability, interpretability, and transparency regarding the diagnosis and prediction of diseases. Blockchain technology provides data security for patients while enabling transparency, traceability, and immutability regarding their data. These features of blockchain ensure trust among the patients regarding their data. Consequently, this proposed architecture ensures transparency and trust regarding both the diagnosis of diseases and the data security of the patient. We also explored the building block technologies of the metaverse. Furthermore, we also investigated the advantages and challenges of a metaverse in healthcare.

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Research works printed but not linked: 3

  1. [52]Han Y. Niyato D. Leung C. Kim D.I. Zhu K. Feng S. Miao C. A dynamic hierarchical framework for iot-assisted metaverse synchronization arXiv 2022 2203.03969
  2. [58]Tambe P. Cappelli P. Yakubovich V. Role of AI in Gaming and Simulation Proceedings of the International Conference on Computer Networks, Big Data and IoT Madurai, India 19–20 December 2019 Springer Berlin/Heidelberg, Germany 2019
  3. [84]Kuo T.T. Ohno-Machado L. Modelchain: Decentralized privacy-preserving healthcare predictive modeling framework on private blockchain networks arXiv 2018 1802.01746

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Authors
Ali, S., Abdullah, Armand, T. P. T., Athar, A., Hussain, A., Ali, M., Yaseen, M., Joo, M.-I., & Kim, H.-C.
Affiliations
Inje University (KR)
Corresponding author
Joo, Moon-Il
Venue
Sensors
Publisher
MDPI AG
Published
2023-01-04
Volume
23
Issue
2
Pages
565
ISSN
1424-8220 (ISSN-L)
OpenAlex
W4313585122
Cited by
285
References
82
Citations by year
2026: 49 · 2025: 96 · 2024: 84 · 2023: 55 · 2022: 1
FWCI
66.68
Type
journal article
Language
en
Open access
Locations
  • Sensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Korean Government (Ministry of Science and ICT) (1711139492, 2021R1I1A1A01050306)
  • National Research Foundation of Korea (NRF) (1711139492, 2021R1I1A1A01050306)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords
metaverse, health care, blockchain, explainable AI, patient data security, disease prediction, disease diagnosis, Grad-CAM, lime, avatars, data privacy, trust in healthcare
MeSH terms
Blockchain, Artificial Intelligence, Delivery of Health Care, Humans, Computer Security, Trust

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