TY - JOUR
T1 - Digital twins for the era of personalized surgery
AU - Mekki, Yosra Magdi
AU - Luijten, Gijs
AU - Hagert, Elisabet
AU - Belkhair, Sirajeddin
AU - Varghese, Chris
AU - Qadir, Junaid
AU - Solaiman, Barry
AU - Bilal, Muhammad
AU - Dhanda, Jaghtar
AU - Egger, Jan
AU - Deng, Jun
AU - Khanduja, Vikas
AU - Frangi, Alejandro F.
AU - Zughaier, Susu M.
AU - Stotland, Mitchell A.
PY - 2025/5/15
Y1 - 2025/5/15
N2 - 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.
AB - 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.
KW - clinical trials
KW - computational models
KW - health occupations
UR - https://www.open-access.bcu.ac.uk/16384/
U2 - 10.1038/s41746-025-01575-5
DO - 10.1038/s41746-025-01575-5
M3 - Article
SN - 2398-6352
VL - 8
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 283
ER -