The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Digital twin in healthcare: Recent updates and challenges
Open accessAbstract
As simulation is playing an increasingly important role in medicine, providing the individual patient with a customised diagnosis and treatment is envisaged as part of future precision medicine. Such customisation will become possible through the emergence of digital twin (DT) technology. The objective of this article is to review the progress of prominent research on DT technology in medicine and discuss the potential applications and future opportunities as well as several challenges remaining in digital healthcare. A review of the literature was conducted using PubMed, Web of Science, Google Scholar, Scopus and related bibliographic resources, in which the following terms and their derivatives were considered during the search: DT, medicine and digital health virtual healthcare. Finally, analyses of the literature yielded 465 pertinent articles, of which we selected 22 for detailed review. We summarised the application examples of DT in medicine and analysed the applications in many fields of medicine. It revealed encouraging results that DT is being increasing applied in medicine. Results from this literature review indicated that DT healthcare, as a key fusion approach of future medicine, will bring the advantages of precision diagnose and personalised treatment into reality.
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Cites
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A Whole-Cell Computational Model Predicts Phenotype from Genotype
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Digital Twins: The Convergence of Multimedia Technologies
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Cited by
Digital twins for health: a scoping review
Katsoulakis, E., Wang, Q., Wu, H., Shahriyari, L., Fletcher, R., Liu, J., Achenie, L., Liu, H., Jackson, P., Xiao, Y., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01073-0 · Cited by 760
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Advancing health care with digital twins: meta-review of applications and implementation challenges
Ringeval, M., Etindele Sosso, F. A., Cousineau, M., & Paré, G. (2025) · Journal of Medical Internet Research · doi:10.2196/69544 · Cited by 108
Metadata
- Authors
- Sun, T., He, X., & Li, Z.
- Venue
- DIGITAL HEALTH
- Publisher
- SAGE Publications
- Published
- 2023-01
- Volume
- 9
- Pages
- 20552076221149651-20552076221149651
- ISSN
- 2055-2076 (ISSN-L)
- OpenAlex
- W4313590025
- Cited by
- 409
- References
- 57
- FWCI
- 93.74
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
