Artificial intelligence and computer vision in orthopaedic trauma the why, how, and what

J. Prijs*, Z. Liao, Machine Learning Consortium, S. Ashkani-Esfahani, J. Olczak, M. Gordon, P. Jayakumar, P. C. Jutte, R. L. Jaarsma, F. F.A. IJpma, J. N. Doornberg

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

Artificial intelligence (AI) is, in essence, the concept of ‘computer thinking’, encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the ‘why’), the current applications (the ‘what’), and the approach to unlocking its full potential (the ‘how’).

Original languageEnglish
Pages (from-to)911-914
Number of pages4
JournalBone and Joint Journal
Volume104 B
Issue number8
DOIs
Publication statusPublished - Aug 2022
Externally publishedYes

Bibliographical note

Funding Information:
The authors received no financial or material support for the research, authorship, and/or publication of this article.

Publisher Copyright:
© 2022 The British Editorial Society of Bone & Joint Surgery.

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