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Digital twin for healthcare immersive services: fundamentals, architectures, and open issues
Digital Twin for Healthcare: Design, Challenges, and Solutions
  • Moayad Aloqaily, Mohamed Bin Zayed University of Artificial Intelligence
  • Ouns Bouachir, Zayed University
  • Fakhri Karray, Mohamed Bin Zayed University of Artificial Intelligence
Document Type
Article
Abstract

Digital Twin (DT) and Immersive Services (XR) technologies are revolutionizing the medical sector through designing applications that support virtual representation and interactive reality. Both technologies leverage one another to advance healthcare services and provide professionals a virtual environment where they can interact with the digital information of their patients more conveniently. The integration of DT and XR technologies enables the creation of advanced 3D models of patients (e.g., organs or body) based on their accurate real data gathered and processed by the DT improving traditional healthcare treatments such as telemedicine, training, and consultation. This chapter introduces the DT technology in immersive healthcare services and presents its benefits to the medical sector. It discusses the various requirements and protocols to build immersive models of the DT using advanced Artificial Intelligence (AI) and Machine Learning (ML)-based mechanisms. The chapter also proposes various paradigms that can be used to enable rapid deployment of these models, meeting the strict demands of the medical sector in terms of efficiency, accuracy, and precision.

DOI
10.1016/B978-0-32-399163-6.00008-1
Publication Date
1-1-2022
Keywords
  • AI,
  • digital twin,
  • healthcare,
  • immersive technology,
  • XR
Comments

IR conditions: non-described

Citation Information
Aloqaily, M., Bouachir, O. and Karray, F., “Digital Twin for healthcare immersive services: Fundamentals, Architectures, and open issues,” in Digital Twin for Healthcare, USA: Academic Press, 2023, pp. 39–71, doi:10.1016/b978-0-32-399163-6.00008-1