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Digital Twin-Based Smart Healthcare Services for the Next Generation Society
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Author(s): V. Hemamalini (SRM Institute of Science and Technology, Chennai, India), Firas Armosh (De Montfort University, Dubai, UAE)and Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)
Copyright: 2024
Pages: 31
Source title:
Future of AI in Medical Imaging
Source Author(s)/Editor(s): Avinash Kumar Sharma (Sharda University, India), Nitin Chanderwal (University of Cincinnati, USA), Shobhit Tyagi (Sharda University, India)and Prashant Upadhyay (Sharda University, India)
DOI: 10.4018/979-8-3693-2359-5.ch015
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Abstract
In today's smart era, the healthcare landscape is rapidly evolving, driven by advancements in technology and the growing healthcare needs of an aging and increasingly interconnected society. To address these challenges, the concept of digital twins has emerged as a promising solution to transform healthcare services for the next generation. This work provides an overview of the key aspects and benefits of digital twin-based smart healthcare services and their potential to revolutionize the healthcare industry. DWT involves creating a digital replica or model of a physical entity, in this case, an individual's health and medical data. By harnessing real-time data from various sources, including wearable devices, electronic health records, and medical imaging, Digital Twins provide a holistic view of an individual's health status, treatment history, and predictive analytics for future health outcomes. This work provides information about data-driven approach enables healthcare providers to make more informed decisions and tailor personalized treatment plans/ improving patient outcomes.
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