Artificial Intelligence-Powered Digital Twin Predictive Analytics Model for Smart Healthcare System

Abstract

Health monitoring systems and healthcare organizations produce vast amounts of complicated data, which present opportunities for creative research in medical decision-making. These data capture advances have opened unthinkable domains for AI and digital twin-related healthcare applications. AI-powered digital twin supports healthcare process automation, real-time health monitoring, enhanced medical decision-making, personalized healthcare, and predictive analytics. These applications can create AI-powered digital twin models that mimic human physiology using various advanced computing approaches. The potential of digital twins can be used to advance medical research and better healthcare outcomes. Hence, this chapter aims to provide an Artificial Intelligence-powered digital twin predictive analytics model for an innovative healthcare system. Integrating digital twins into the smart healthcare field can improve healthcare procedures, provide personalized treatment, and create a smart and intelligent healthcare ecosystem.

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