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新冠疫情时代用于手术远程操作、远程评估和远程培训的机器人技术与人工智能:现存挑战及未来愿景

Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision.

作者信息

Feizi Navid, Tavakoli Mahdi, Patel Rajni V, Atashzar S Farokh

机构信息

Canadian Surgical Technologies and Advanced Robotics (CSTAR), London Health Sciences Centre, and School of Biomedical Engineering, University of Western Ontario, London, ON, Canada.

Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.

出版信息

Front Robot AI. 2021 Apr 14;8:610677. doi: 10.3389/frobt.2021.610677. eCollection 2021.

Abstract

The unprecedented shock caused by the COVID-19 pandemic has severely influenced the delivery of regular healthcare services. Most non-urgent medical activities, including elective surgeries, have been paused to mitigate the risk of infection and to dedicate medical resources to managing the pandemic. In this regard, not only surgeries are substantially influenced, but also pre- and post-operative assessment of patients and training for surgical procedures have been significantly impacted due to the pandemic. Many countries are planning a phased reopening, which includes the resumption of some surgical procedures. However, it is not clear how the reopening safe-practice guidelines will impact the quality of healthcare delivery. This perspective article evaluates the use of robotics and AI in 1) robotics-assisted surgery, 2) tele-examination of patients for pre- and post-surgery, and 3) tele-training for surgical procedures. Surgeons interact with a large number of staff and patients on a daily basis. Thus, the risk of infection transmission between them raises concerns. In addition, pre- and post-operative assessment also raises concerns about increasing the risk of disease transmission, in particular, since many patients may have other underlying conditions, which can increase their chances of mortality due to the virus. The pandemic has also limited the time and access that trainee surgeons have for training in the OR and/or in the presence of an expert. In this article, we describe existing challenges and possible solutions and suggest future research directions that may be relevant for robotics and AI in addressing the three tasks mentioned above.

摘要

新冠疫情引发的前所未有的冲击严重影响了常规医疗服务的提供。包括择期手术在内的大多数非紧急医疗活动都已暂停,以降低感染风险,并将医疗资源投入到应对疫情中。在这方面,不仅手术受到重大影响,患者的术前和术后评估以及手术操作培训也因疫情受到显著冲击。许多国家正在计划分阶段重新开放,其中包括恢复一些外科手术。然而,重新开放的安全实践指南将如何影响医疗服务质量尚不清楚。这篇观点文章评估了机器人技术和人工智能在以下三个方面的应用:1)机器人辅助手术;2)患者手术前后的远程检查;3)手术操作的远程培训。外科医生每天都会与大量工作人员和患者接触。因此,他们之间感染传播的风险令人担忧。此外,术前和术后评估也引发了对疾病传播风险增加的担忧,特别是因为许多患者可能有其他基础疾病,这可能会增加他们因感染病毒而死亡的几率。疫情还限制了实习外科医生在手术室和/或专家指导下进行培训的时间和机会。在本文中,我们描述了现有挑战和可能的解决方案,并提出了未来可能与机器人技术和人工智能相关的研究方向,以应对上述三项任务。

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