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9/14/2021 12:11:42 PM | Browse: 29 | Download: 7
Publication Name World Journal of Orthopedics
Manuscript ID 65863
Country/Territory United States
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
2021-05-12 03:07
Second Decision
2021-08-05 03:21
Accepted by Journal Editor-in-Chief
Accepted by Company 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/
Copyright © The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
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
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