Computer assisted orthopaedic surgery: Past, present and future.

Autor: Picard F; Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK; Department of Biomedical Engineering, University of Strathclyde, Wolfson Centre, 106 Rottenrow, Glasgow, G4 0NW, UK. Electronic address: frederic.picard@gjnh.scot.nhs.uk., Deakin AH; Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK., Riches PE; Department of Biomedical Engineering, University of Strathclyde, Wolfson Centre, 106 Rottenrow, Glasgow, G4 0NW, UK., Deep K; Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK., Baines J; Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK.
Jazyk: angličtina
Zdroj: Medical engineering & physics [Med Eng Phys] 2019 Oct; Vol. 72, pp. 55-65.
DOI: 10.1016/j.medengphy.2019.08.005
Abstrakt: Computer technology is ubiquitous and relied upon in virtually all professional activities including neurosurgery, which is why it is surprising that it is not the case for orthopaedic surgery with fewer than 5% of surgeons using available computer technology in their procedures. In this review, we explore the evolution and background of Computer Assisted Orthopaedic Surgery (CAOS), delving into the basic principles behind the technology and the changes in the discussion on the subject throughout the years and the impact these discussions had on the field. We found evidence that industry had an important role in driving the discussion at least in knee arthroplasty-a leading field of CAOS-with the ratio between patents and publications increased from approximately 1:10 in 2004 to almost 1:3 in 2014. The adoption of CAOS is largely restrained by economics and ergonomics with sceptics challenging the accuracy and precision of navigation during the early years of CAOS moving to patient functional improvements and long term survivorship. Nevertheless, the future of CAOS remains positive with the prospect of new technologies such as improvements in image-guided surgery, enhanced navigation systems, robotics and artificial intelligence.
(Copyright © 2019 IPEM. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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