Digital twins for the era of personalized surgery
Author | Mekki, Yosra Magdi |
Author | Luijten, Gijs |
Author | Hagert, Elisabet |
Author | Belkhair, Sirajeddin |
Author | Varghese, Chris |
Author | Qadir, Junaid |
Author | Solaiman, Barry |
Author | Bilal, Muhammad |
Author | Dhanda, Jaghtar |
Author | Egger, Jan |
Author | Deng, Jun |
Author | Khanduja, Vikas |
Author | Frangi, Alejandro F. |
Author | Zughaier, Susu M. |
Author | Stotland, Mitchell A. |
Available date | 2025-06-15T10:22:27Z |
Publication Date | 2025-05-15 |
Publication Name | Npj Digital Medicine |
Identifier | http://dx.doi.org/10.1038/s41746-025-01575-5 |
Citation | Mekki, Y. M., Luijten, G., Hagert, E., Belkhair, S., Varghese, C., Qadir, J., ... & Stotland, M. A. (2025). Digital twins for the era of personalized surgery. npj Digital Medicine, 8(1), 1-8. |
Abstract | Digital twins can aid surgeons in training and in performing interventions with greater awareness and precision. The range and variety of digital twins in surgery are described, and their use across perioperative care is discussed. While largely experimental, they are beginning to show promise for the enhancement of personalized, adaptive, and data-driven surgical care. Issues relevant to the greater adoption and deployment of digital twins are all considered. |
Sponsor | This work was supported by the Royal Academy of Engineering under the RAEng Chair in Emerging Technologies (INSILEX CiET1919\\/19), ERC Advanced Grant \u2013 UKRI Frontier Research Guarantee (INSILICO EP\\/Y030494/1). The research was carried out at the National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre (BRC) (NIHR203308). |
Language | en |
Publisher | Springer Nature |
Subject | surgery Digital twins |
Type | Article |
Pagination | 1-8 |
Issue Number | 1 |
Volume Number | 8 |
ESSN | 2398-6352 |
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