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

机器人学 大流行 2019年冠状病毒病(COVID-19) 医疗保健 遥操作 医学 远程医疗 机械人手术 个人防护装备 遥控机器人学 人工智能 远程医疗 机器人 医疗急救 计算机科学 疾病 传染病(医学专业) 病理 移动机器人 经济 经济增长
作者
Navid Feizi,Mahdi Tavakoli,Rajni V. Patel,S. Farokh Atashzar
出处
期刊:Frontiers in Robotics and AI [Frontiers Media]
卷期号:8 被引量:73
标识
DOI:10.3389/frobt.2021.610677
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
qrt发布了新的文献求助10
1秒前
Owen应助滕茹嫣采纳,获得10
1秒前
Encore发布了新的文献求助10
2秒前
缓慢的王完成签到,获得积分10
4秒前
干净的琦应助大头采纳,获得20
5秒前
7秒前
爆米花应助可以采纳,获得10
7秒前
8秒前
万能图书馆应助wjf采纳,获得10
8秒前
雷若山完成签到 ,获得积分10
9秒前
10秒前
纣王完成签到,获得积分10
10秒前
滕茹嫣完成签到,获得积分20
12秒前
胖崽胖崽完成签到,获得积分10
12秒前
12秒前
12秒前
nanonamo完成签到,获得积分10
13秒前
chen555完成签到 ,获得积分10
13秒前
14秒前
滕茹嫣发布了新的文献求助10
14秒前
十分十分佳完成签到,获得积分10
15秒前
15秒前
阿罗完成签到 ,获得积分20
16秒前
快乐高跟鞋完成签到,获得积分10
16秒前
可以发布了新的文献求助10
16秒前
18秒前
18秒前
研友_ndPgjn发布了新的文献求助10
20秒前
21秒前
蓝桉完成签到,获得积分20
21秒前
天天快乐应助LY采纳,获得10
21秒前
23秒前
可以完成签到,获得积分20
24秒前
liumengyuan发布了新的文献求助10
25秒前
开心的中心完成签到 ,获得积分10
26秒前
molihuakai应助一个圈采纳,获得10
27秒前
28秒前
yuan完成签到,获得积分10
30秒前
顾矜应助菠萝不吃菠萝蜜采纳,获得10
31秒前
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6385583
求助须知:如何正确求助?哪些是违规求助? 8199058
关于积分的说明 17343021
捐赠科研通 5439267
什么是DOI,文献DOI怎么找? 2876488
邀请新用户注册赠送积分活动 1852958
关于科研通互助平台的介绍 1697227