Digital twin for healthcare immersive services: fundamentals, architectures, and open issues
Document Type
Article
Publication Title
Digital Twin for Healthcare: Design, Challenges, and Solutions
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.
First Page
39
Last Page
71
DOI
10.1016/B978-0-32-399163-6.00008-1
Publication Date
1-1-2022
Keywords
AI, digital twin, healthcare, immersive technology, XR
Recommended Citation
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
Comments
IR conditions: non-described