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AuthorMekki, Yosra Magdi
AuthorLuijten, Gijs
AuthorHagert, Elisabet
AuthorBelkhair, Sirajeddin
AuthorVarghese, Chris
AuthorQadir, Junaid
AuthorSolaiman, Barry
AuthorBilal, Muhammad
AuthorDhanda, Jaghtar
AuthorEgger, Jan
AuthorDeng, Jun
AuthorKhanduja, Vikas
AuthorFrangi, Alejandro F.
AuthorZughaier, Susu M.
AuthorStotland, Mitchell A.
Available date2025-06-15T10:22:27Z
Publication Date2025-05-15
Publication NameNpj Digital Medicine
Identifierhttp://dx.doi.org/10.1038/s41746-025-01575-5
CitationMekki, 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.
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105005270601&origin=inward
URIhttp://hdl.handle.net/10576/65545
AbstractDigital 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.
SponsorThis 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).
Languageen
PublisherSpringer Nature
Subjectsurgery
Digital twins
TitleDigital twins for the era of personalized surgery
TypeArticle
Pagination1-8
Issue Number1
Volume Number8
ESSN2398-6352
dc.accessType Open Access


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