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The development and deployment of machine learning models.

Authors :
Pruneski JA
Williams RJ 3rd
Nwachukwu BU
Ramkumar PN
Kiapour AM
Martin RK
Karlsson J
Pareek A
Source :
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA [Knee Surg Sports Traumatol Arthrosc] 2022 Dec; Vol. 30 (12), pp. 3917-3923. Date of Electronic Publication: 2022 Sep 09.
Publication Year :
2022

Abstract

Applications of artificial intelligence, specifically machine learning, are becoming increasingly popular in Orthopaedic Surgery, and medicine as a whole. This growing interest is shared by data scientists and physicians alike. However, there is an asymmetry of understanding of the developmental process and potential applications of machine learning. As new technology will undoubtedly affect clinical practice in the coming years, it is important for physicians to understand how these processes work. The purpose of this paper is to provide clarity and a general framework for building and assessing machine learning models.<br /> (© 2022. The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA).)

Details

Language :
English
ISSN :
1433-7347
Volume :
30
Issue :
12
Database :
MEDLINE
Journal :
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Publication Type :
Editorial & Opinion
Accession number :
36083354
Full Text :
https://doi.org/10.1007/s00167-022-07155-4