Impacts and Challenges of Digital Twins in Healthcare

This technical report discusses the impacts and challenges associated with the implementation of Digital Twin (DT) technology in healthcare. It outlines how DTs enable personalized medicine by creating virtual models of patients that simulate responses to various treatments. The report details the use of real-time data from advanced imaging and wearable sensors to continuously update these models, facilitating improved surgical planning and medical device development. Furthermore, it addresses the challenges of data collection, integration, and privacy that arise in the deployment of DTs. The report emphasizes the need for robust infrastructure to ensure real-time data acquisition and the integration of multimodal data types. It also highlights regulatory compliance and ethical considerations, including the implications of data privacy and the necessity for diverse data sourcing to avoid bias. The conclusion underscores the potential of DT technology to transform healthcare delivery while acknowledging the complexities involved in its implementation.