BACKGROUND
Digital twins have their origins in NASA's space craft production and have lately gained popularity in the medical field. They are derived from computer simulations of virtual things and possess distinct traits and uniformity. Currently, it is extensively utilized in several surgical procedures as well as in gene identification and prognosis. The integration of digital twins and medicine is now uncertain, although it is worth exploring extensively.
OBJECTIVE
We will be doing an academic research using the visualization tool CiteSpace to investigate the explicit connection between digital twins and the field of medicine. Additionally, we want to suggest ethical considerations related to this topic.
METHODS
Using the CiteSpace 5.75r version, we retrieved data from the WOS Core Collection and PubMed. We then analyzed this data to create a network of countries, institutions, and co-occurring keywords. Additionally, we identified keywords with citation bursts and conducted timeline and cluster analysis. Through the use of tables and figures, we demonstrated the hot spots and trends of digital twins in medicine.
RESULTS
Encompassing 1015 research, the data reveals a significant surge in the yearly number of publications. The tree map showcases the primary study subject as Health Care Science Service, and presents a visual analysis of the top 10 countries, institutions, co-occurrence keywords, burst words, clusters, and timeline.
CONCLUSIONS
Visualization analysis may definitively corroborate the results and clearly demonstrate the evolution of digital twins technology in medicine. It also offers additional references for researchers in the same field. Nevertheless, the practical application of digital twins in a therapeutic setting will necessitate the resolution of a diverse array of technological, medical, ethical, and theoretical challenges.