Hanad Ahmed1, Laurence Devoto2. 1. Faculty of Medicine, 7423University of Southampton, UK. 2. Division of Surgery and Interventional Science, 159099University College London Medical School, UK.
Digital twins are virtual replicas of physical entities that go beyond a still image and
encompass the dynamic functionality of the real-life object.[1,2] They are widely used in industries such as construction and aviation.
Their advent is said to mark the fourth industrial revolution for the innovation of new
products and services.[1]The concept is increasingly entering the healthcare industry with the aim of creating
molecular and phenotypic copies of human beings that can allow for trialling of different
therapies to elucidate the most efficacious treatment for the real-life patient.[2]Although the literature is increasingly discussing the potential for medical specialities
such as cardiology and oncology,[3,4] there are
few articles discussing their potential in surgical practice.
Digital Twins in Surgical Practice
The ethos of a surgical digital twin is the idea that a patient model is created, and
surgery can be planned in the multidisciplinary team meeting, practised beforehand in a
simulator and referenced during the operation to verify anatomy and avoid inadvertent damage
to structures. This real-time model of the patient could also give rise to clinical trials
where new instruments, techniques or therapies are first tried on the digital twin,
minimising risk to the patient.Digital twins combined with the increasingly developing virtual reality platforms can also
enhance surgical training for residents, by allowing for simulated practice in the context
of each patient’s specific anatomical and physiological variation, whilst providing a
realistic account of performance with the ability to measure intraoperative metrics.[5]
Current Limitations
Current limitations are centred around tissue modelling in real time, with deformation and
movement that resembles real life. This issue is mainly one of computer powers as the
physics can be modelled using a number of open source programmes.
Conclusion and Future Practices
Digital twins have the potential to revolutionise surgical care, research and training.
Despite the potentials, the healthcare industry is still in its infancy in being able to map
the human body down to a dynamic real-time digital counterpart. Even if the technical
challenges were to be overcome, there would still be ethical considerations surrounding the
ability to download a detailed copy of a human being. Nonetheless, the potential to cure
disease in both medicine and surgery is likely to evolve considerably in the coming decades
with technology forming a key component of that evolution.
Authors: Bergthor Björnsson; Carl Borrebaeck; Nils Elander; Thomas Gasslander; Danuta R Gawel; Mika Gustafsson; Rebecka Jörnsten; Eun Jung Lee; Xinxiu Li; Sandra Lilja; David Martínez-Enguita; Andreas Matussek; Per Sandström; Samuel Schäfer; Margaretha Stenmarker; X F Sun; Oleg Sysoev; Huan Zhang; Mikael Benson Journal: Genome Med Date: 2019-12-31 Impact factor: 11.117
Authors: Jorge Corral-Acero; Francesca Margara; Maciej Marciniak; Cristobal Rodero; Filip Loncaric; Yingjing Feng; Andrew Gilbert; Joao F Fernandes; Hassaan A Bukhari; Ali Wajdan; Manuel Villegas Martinez; Mariana Sousa Santos; Mehrdad Shamohammdi; Hongxing Luo; Philip Westphal; Paul Leeson; Paolo DiAchille; Viatcheslav Gurev; Manuel Mayr; Liesbet Geris; Pras Pathmanathan; Tina Morrison; Richard Cornelussen; Frits Prinzen; Tammo Delhaas; Ada Doltra; Marta Sitges; Edward J Vigmond; Ernesto Zacur; Vicente Grau; Blanca Rodriguez; Espen W Remme; Steven Niederer; Peter Mortier; Kristin McLeod; Mark Potse; Esther Pueyo; Alfonso Bueno-Orovio; Pablo Lamata Journal: Eur Heart J Date: 2020-12-21 Impact factor: 29.983
Authors: Chengyue Wu; Guillermo Lorenzo; David A Hormuth; Ernesto A B F Lima; Kalina P Slavkova; Julie C DiCarlo; John Virostko; Caleb M Phillips; Debra Patt; Caroline Chung; Thomas E Yankeelov Journal: Biophys Rev (Melville) Date: 2022-05-17