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Digital twins assisted surgery: A conceptual framework for transforming surgical training and navigation
Justicia Kyeremeh1, Lisa Asciak2, James P Blackmur3
1Department of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK; Urological Malignancies Virtual Institute, CRUK Cambridge Centre, University of Cambridge, Cambridge, UK.
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.
