Abstract
The Digital Twin (DT) technology has gained success in the production industry, and it is now getting attention in the domain of health and well-being. The healthcare DT models require Artificial Intelligence (AI) capabilities related to various health conditions, including early warnings of a patient's critical condition, classification of diabetes risk, heart risk, and prediction for preparedness for hospital management. In addition, DT is adopting AI to increase the scope and impact of healthcare applications. However, the AI-based DT models in healthcare are still less explored, because DT in health and well-being is an emerging field. Therefore, this chapter aims to provide an overview of AI-based models for health and well-being, outline the current technological advances, and consider such models in the literature.
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