Real-time Digital Twin Assisted Surgery

手术是NHS提供的关键治疗。covid - 19之前的数据（2004-2014年）表明，英格兰的手术数量增加了27%（进行了1000万次手术）。尽管由于2019冠状病毒病，2020年有150万例手术被取消或推迟（英格兰和威尔士减少了约33.6%），癌症手术等待名单激增，可能导致更多的死亡，但肿瘤切除手术最近又恢复了，并且仍然很高（例如，2021年约51%的诊断患者接受了肾肿瘤切除术）。2009-2014年间，英国外科手术的经济负担总额约为546亿英镑（每年109亿英镑），占NHS总预算（2013-2014年1170亿英镑）的9.4%。显然，临床需要尽量减少外科手术、医疗保健费用、患者等候名单和相关的患者并发症。为了满足这一需求，我们的目标是通过创造突破性的实时数字孪生辅助手术（DTAS）技术，以数字化方式改变未来的手术，特别是癌症手术。患者是这项技术的核心，对他们的生活质量和医疗保健有显著和可衡量的好处。DTAS可以应用于几种类型的手术（开放、微创或机器人手术），即使在部分器官切除中也能实现高精度的肿瘤切除。一个平行的目标是改革外科训练，提供以患者为中心的个性化手术排练的新范例。这个项目是及时的，将由一个具有国际竞争力，经验丰富的多学科团队交付，能够实现我们的愿景。我们的团队涵盖多个学科，包括患者的生活经验；卫生技术;生物工程;数字孪生（DT）技术；人工智能（AI）；数学科学;数值模拟。

Surgery is a critical treatment delivered by NHS. Pre-COVID19 data (2004-2014) suggest a 27% increase in surgeries in England (>10 million operations performed). Despite >1.5 million cancelled or postponed surgeries in 2020 due to COVID19 (~33.6% reduction in England and Wales) and rocketed waiting lists for cancer surgery likely resulting in more deaths, tumour resection surgeries have recently resumed and remain high (e.g. ~51% of diagnoses received a kidney tumour resection in 2021). The total UK economic burden of surgery was ~£54.6 billion between 2009-2014 (£10.9 bn pa), amounting to 9.4% of the total NHS budget (£117 billion, 2013-2014). There is a clear clinical need for minimising surgical operations, healthcare costs, patient waiting lists, and associated patient complications.To address this need, we aim to digitally transform future surgery, particularly for cancer, by creating a ground-breaking real-time digital twin assisted surgery (DTAS) technology. The patient is at the core of this technology, with significant and measurable benefits for their quality of life and healthcare. DTAS can be applied to several types of surgery (open, minimally invasive, or robotic surgery), for high precision tumour removal even in a partial organ resection. A parallel goal is to revolutionise surgical training, offering a new paradigm of patient-centred personalised surgical rehearsal. This project is timely and will be delivered by an internationally competitive, highly experienced multidisciplinary team, capable of delivering our vision. Our team covers several disciplines, including the lived experience from patients; health technologies; bioengineering; digital twin (DT) technology; artificial intelligence (AI); mathematical science; numerical simulation.