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Review
. 2023 Oct;38(10):1954-1958.
doi: 10.1016/j.arth.2023.08.046. Epub 2023 Aug 25.

Educational Overview of the Concept and Application of Computer Vision in Arthroplasty

Diana V Vera-Garcia  1 , Fred Nugen  1 , Sirwa Padash  1 , Bardia Khosravi  1 , John P Mickley  2 , Bradley J Erickson  3 , Cody C Wyles  2 , Michael J Taunton  2
Affiliations
Review

Educational Overview of the Concept and Application of Computer Vision in Arthroplasty

Diana V Vera-Garcia et al. J Arthroplasty. 2023 Oct.

Abstract

Image data has grown exponentially as systems have increased their ability to collect and store it. Unfortunately, there are limits to human resources both in time and knowledge to fully interpret and manage that data. Computer Vision (CV) has grown in popularity as a discipline for better understanding visual data. Computer Vision has become a powerful tool for imaging analytics in orthopedic surgery, allowing computers to evaluate large volumes of image data with greater nuance than previously possible. Nevertheless, even with the growing number of uses in medicine, literature on the fundamentals of CV and its implementation is mainly oriented toward computer scientists rather than clinicians, rendering CV unapproachable for most orthopedic surgeons as a tool for clinical practice and research. The purpose of this article is to summarize and review the fundamental concepts of CV application for the orthopedic surgeon and musculoskeletal researcher.

Keywords: artificial intelligence; computer vision; data science; deep learning; total hip arthroplasty; total knee arthroplasty.

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Figures

Figure 1.
Figure 1.
Graphic representation of how a computer process an image
Figure 2.
Figure 2.
Medical imaging processing tasks
See this image and copyright information in PMC

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