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Citation

BibTex format

@article{Kinross:2020:10.1038/s41575-020-0290-z,
author = {Kinross, JM and Mason, SE and Mylonas, G and Darzi, A},
doi = {10.1038/s41575-020-0290-z},
journal = {Nature Reviews Gastroenterology and Hepatology},
pages = {430--440},
title = {Next-generation robotics in gastrointestinal surgery},
url = {http://dx.doi.org/10.1038/s41575-020-0290-z},
volume = {17},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The global numbers of robotic gastrointestinal surgeries are increasing. However, the evidence base for robotic gastrointestinal surgery does not yet support its widespread adoption or justify its cost. The reasons for its continued popularity are complex, but a notable driver is the push for innovation — robotic surgery is seen as a compelling solution for delivering on the promise of minimally invasive precision surgery — and a changing commercial landscape delivers the promise of increased affordability. Novel systems will leverage the robot as a data-driven platform, integrating advances in imaging, artificial intelligence and machine learning for decision support. However, if this vision is to be realized, lessons must be heeded from current clinical trials and translational strategies, which have failed to demonstrate patient benefit. In this Perspective, we critically appraise current research to define the principles on which the next generation of gastrointestinal robotics trials should be based. We also discuss the emerging commercial landscape and define existing and new technologies.
AU - Kinross,JM
AU - Mason,SE
AU - Mylonas,G
AU - Darzi,A
DO - 10.1038/s41575-020-0290-z
EP - 440
PY - 2020///
SN - 1759-5045
SP - 430
TI - Next-generation robotics in gastrointestinal surgery
T2 - Nature Reviews Gastroenterology and Hepatology
UR - http://dx.doi.org/10.1038/s41575-020-0290-z
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000543442400013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.nature.com/articles/s41575-020-0290-z
UR - http://hdl.handle.net/10044/1/82305
VL - 17
ER -