Digital twins assisted surgery : a conceptual framework for transforming surgical training and navigation

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Kyeremeh, Justicia and Asciak, Lisa and Blackmur, James P. and Luo, Xichun and Picard, Frederic and Shu, Wenmiao and Stewart, Grant D. (2025) Digital twins assisted surgery : a conceptual framework for transforming surgical training and navigation. Surgeon. ISSN 1479-666X (https://doi.org/10.1016/j.surge.2025.09.007)

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Abstract

Background: Given the complexity and evolution of modern surgical procedures, there is a need for training methods to develop and keep pace. Digital Twins Assisted Surgery (DTAS) offers a novel opportunity to enhance both surgical education and intraoperative decision-making. Patients and methods: We propose a conceptual framework for integrating DTAS into surgical education. Hypothetical case examples are presented to illustrate how DTAS could be utilized for preoperative planning, intraoperative guidance, and individualized skill development in surgical trainees. Results: DTAS demonstrates potential for improving surgical precision, skill acquisition, and patient safety. By integrating real-time data, 3D modelling, and predictive analytics, DTAS holds promise for improving surgical outcomes and facilitating skill acquisition in complex procedures. Conclusions: DTAS could transform surgical training and navigation. Pilot studies and validation trials are needed to assess its integration into curricula and its impact on clinical outcomes.

ORCID iDs

Kyeremeh, Justicia, Asciak, Lisa ORCID logoORCID: https://orcid.org/0009-0008-8285-198X, Blackmur, James P., Luo, Xichun ORCID logoORCID: https://orcid.org/0000-0002-5024-7058, Picard, Frederic, Shu, Wenmiao ORCID logoORCID: https://orcid.org/0000-0002-1220-361X and Stewart, Grant D.;
CORE (COnnecting REpositories)