Structural Topic Modeling Analysis of Digital Twin Study in Healthcare.

This study identify the featured topics of studies related to digital twin (DT) and healthcare through Structural Topic Modeling (STM). Papers on the DT in healthcare were gathered from five databases between 2018 and 2024. An STM model was developed, and the best topics were selected based on semantic coherence, lower bound, and held-out likelihood. Eight topics were emerged from the literature. The integration of advanced technologies, led by DT, is revolutionizing healthcare and manufacturing by delivering more efficient, personalized, and innovative solutions.