Digital Twin Technology in Healthcare: A Literature Review

In our study, we review the literature from popular databases on how digital twins and machine learning can change healthcare and improve patient outcomes. The main research direction is the history of this area of investigation: the approaches to methodology; the recognition of trends in their reproduction; and the realization of empirics in practice. The paper also addresses the challenges as well as prospects in the field with a keen focus on digital twins’ impact on healthcare innovation and service delivery. The purpose of the research is to evaluate the potential of digital twin technology to change the healthcare system by means of novel medical practices and improving patient care. It is expected that digital twin technology will usher in a new era in healthcare. Presenter IEEE member ID 90261329.