Publication Name	World Journal of Orthopedics
Manuscript ID	65863
Country	United States

Received	2021-03-17 00:25
Peer-Review Started	2021-03-17 00:29
To Make the First Decision
Return for Revision	2021-05-03 02:05
Revised	2021-05-12 03:07
Second Decision	2021-08-05 03:21
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2021-08-05 09:27
Articles in Press	2021-08-05 09:27
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2021-09-05 15:00
Publish the Manuscript Online	2021-09-14 09:36

ISSN	2218-5836 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
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Category	Orthopedics
Manuscript Type	Minireviews
Article Title	Machine learning in orthopaedic surgery
Manuscript Source	Invited Manuscript
All Author List	Simon P Lalehzarian, Anirudh K Gowd and Joseph N Liu
ORCID	Author(s) ORCID Number Simon P Lalehzarian http://orcid.org/0000-0003-3406-3651 Anirudh K Gowd http://orcid.org/0000-0001-7151-6459 Joseph N Liu http://orcid.org/0000-0002-3801-8885
Funding Agency and Grant Number
Corresponding Author	Joseph N Liu, MD, Assistant Professor, USC Epstein Family Center for Sports Medicine, Keck Medicine of USC, 1520 San Pablo St #2000, Los Angeles, CA 90033, United States. joseph.liu@med.usc.edu
Key Words	Artificial intelligence; Machine learning; Supervised learning; Unsupervised learning; Deep learning; Orthopaedic surgery
Core Tip	With the mass interest artificial intelligence and machine learning have garnered in orthopaedic surgery, a literature review of recent studies is necessary. By demonstrating the utility of various machine learning algorithms across various subspecialties of orthopaedic surgery, researchers should encourage physicians to understand the benefits of machine learning techniques and learn how to effectively incorporate these elements into their own practice to improve patient care. This clinical review outlines the concepts of machine learning and summarizes current and future orthopaedic applications of machine learning in risk assessment, outcomes assessment, imaging, and basic science fields.
Publish Date	2021-09-14 09:36
Citation	Lalehzarian SP, Gowd AK, Liu JN. Machine learning in orthopaedic surgery. World J Orthop 2021; 12(9): 685-699
URL	https://www.wjgnet.com/2218-5836/full/v12/i9/685.htm
DOI	https://dx.doi.org/10.5312/wjo.v12.i9.685

Full Article (PDF)	WJO-12-685.pdf
Full Article (Word)	WJO-12-685.docx
Manuscript File	65863_Auto_Edited-JPY.docx
Answering Reviewers	65863-Answering reviewers.pdf
Audio Core Tip	65863-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	65863-Conflict-of-interest statement.pdf
Copyright License Agreement	65863-Copyright license agreement.pdf
Supplementary Material	65863-Supplementary material.pdf
Peer-review Report	65863-Peer-review(s).pdf
Scientific Misconduct Check	65863-Scientific misconduct check.pdf
Scientific Editor Work List	65863-Scientific editor work list.pdf
CrossCheck Report	65863-CrossCheck report.pdf