Enhancing Healthcare with Digital Twins: A Comparative Approach Using AI and AI-Enhanced Digital Twins

Abstract

This research evaluates the effect of digital twins (DTs) on healthcare progress, especially in connection with Chronic Obstructive Pulmonary Disease (COPD). We contrast systems that use only AI and systems that use digital twins to evaluate improvements in the accuracy of prediction, real-time surveillance, and patient engagement. Our approach utilizes IoT sensors to record physiological data in real time with the aid of high-tech machine models. The results of our research suggest that the use of digital twins raises accuracy to 92.09% instead of 78.71, achieved exclusively through AI. This research explains how digital twins improve predictive analytics, and how it encourages more proactive medical treatment.

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