A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches

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Title: A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches
Authors: Han, J
Davids, J
Ashrafian, H
Darzi, A
Elson, DS
Sodergren, M
Item Type: Journal Article
Abstract: Background From traditional open surgery to laparoscopic surgery and robot-assisted surgery, advances in robotics, machine learning, and imaging are pushing the surgical approach to-wards better clinical outcomes. Pre-clinical and clinical evidence suggests that automation may standardise techniques, increase efficiency, and reduce clinical complications. Methods A PRISMA-guided search was conducted across PubMed and OVID. Results Of the 89 screened articles, 51 met the inclusion criteria, with 10 included in the final review. Automatic data segmentation, trajectory planning, intra-operative registration, trajectory drilling, and soft tissue robotic surgery were discussed. Conclusion Although automated surgical systems remain conceptual, several research groups have developed supervised autonomous robotic surgical systems with increasing consideration for ethico-legal issues for automation. Automation paves the way for precision surgery and improved safety and opens new possibilities for deploying more robust artificial intelligence models, better imaging modalities and robotics to improve clinical outcomes.
Issue Date: Apr-2022
Date of Acceptance: 21-Dec-2021
URI: http://hdl.handle.net/10044/1/94344
DOI: 10.1002/rcs.2358
ISSN: 1478-5951
Publisher: John Wiley and Sons
Start Page: 1
End Page: 11
Journal / Book Title: International Journal of Medical Robotics and Computer Assisted Surgery
Volume: 18
Issue: 2
Copyright Statement: © 2021 John Wiley & Sons Ltd. This is the accepted version of the following article: Han, J, Davids, J, Ashrafian, H, Darzi, A, Elson, DS, Sodergren, M. A systematic review of robotic surgery: from supervised paradigms to fully autonomous robotic approaches. Int J Med Robot. 2021;e2358, which has been published in final form at https://doi.org/10.1002/rcs.2358
Sponsor/Funder: The Academy of Medical Sciences
Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
Engineering & Physical Science Research Council (EPSRC)
Imperial College Healthcare NHS Trust- BRC Funding
Wellcome Trust
Cancer Research UK
Funder's Grant Number: n/a
RDB04 79560
RD207
EP/L014149/1
RDB04
208857/Z/17/Z
25147
Keywords: Science & Technology
Life Sciences & Biomedicine
Surgery
robotic assisted surgery
robotic autonomy
supervised autonomous robotic surgery
EVOLUTION
robotic assisted surgery
robotic autonomy
supervised autonomous robotic surgery
Artificial Intelligence
Humans
Laparoscopy
Machine Learning
Robotic Surgical Procedures
Robotics
Humans
Laparoscopy
Robotics
Artificial Intelligence
Robotic Surgical Procedures
Machine Learning
Science & Technology
Life Sciences & Biomedicine
Surgery
robotic assisted surgery
robotic autonomy
supervised autonomous robotic surgery
EVOLUTION
Surgery
1103 Clinical Sciences
Publication Status: Published
Embargo Date: 2022-12-23
Open Access location: https://doi.org/10.1002/rcs.2358
Article Number: ARTN e2358
Online Publication Date: 2021-12-24
Appears in Collections:Department of Surgery and Cancer
Faculty of Medicine
Institute of Global Health Innovation