Mekki Yosra Magdi, Luijten Gijs, Hagert Elisabet, Belkhair Sirajeddin, Varghese Chris, Qadir Junaid, Solaiman Barry, Bilal Muhammad, Dhanda Jaghtar, Egger Jan, Deng Jun, Khanduja Vikas, Frangi Alejandro F, Zughaier Susu M, Stotland Mitchell A
College of Medicine, Qatar University, QU Health, Doha, Qatar.
Institute for Artificial Intelligence in Medicine (IKIM), Essen University Hospital (AöR), Essen, Germany.
NPJ Digit Med. 2025 May 15;8(1):283. doi: 10.1038/s41746-025-01575-5.
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.
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