TY - JOUR
T1 - Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19
T2 - Existing Challenges, and Future Vision
AU - Feizi, Navid
AU - Tavakoli, Mahdi
AU - Patel, Rajni V.
AU - Atashzar, S. Farokh
N1 - Funding Information:
The work of NF and RP was funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada under grant #RGPIN-1345 (awarded to RP) and the Tier-1 Canada Research Chairs Program (RP). The work of SA is supported, by the National Science Foundation (Award Number: 2031594).
Publisher Copyright:
© Copyright © 2021 Feizi, Tavakoli, Patel and Atashzar.
PY - 2021/4/14
Y1 - 2021/4/14
N2 - 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.
AB - 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.
KW - COVID-19
KW - robotics
KW - surgery
KW - tele-examination
KW - tele-training
KW - teleoperation
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U2 - 10.3389/frobt.2021.610677
DO - 10.3389/frobt.2021.610677
M3 - Article
AN - SCOPUS:85104980063
SN - 2296-9144
VL - 8
JO - Frontiers in Robotics and AI
JF - Frontiers in Robotics and AI
M1 - 610677
ER -