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Articles Published Processes
6/26/2023 8:57:14 PM | Browse: 95 | Download: 288
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Received |
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2023-01-26 15:35 |
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Peer-Review Started |
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2023-01-26 15:39 |
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To Make the First Decision |
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2023-04-10 02:53 |
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Revised |
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2023-04-23 19:50 |
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Second Decision |
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2023-05-08 03:12 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-05-08 08:35 |
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Articles in Press |
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2023-05-08 08:35 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-05-19 20:09 |
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Typeset the Manuscript |
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2023-06-09 10:00 |
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Publish the Manuscript Online |
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2023-06-26 20:57 |
ISSN |
2307-8960 (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) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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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 |
Application of artificial intelligence in trauma orthopedics: Limitation and prospects
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Manuscript Source |
Invited Manuscript |
All Author List |
Maryam Salimi, Joshua A Parry, Raha Shahrokhi and Seyedarad Mosalamiaghili |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Seyedarad Mosalamiaghili, MD, Researcher, Student Research Committee, Shiraz University of Medical Sciences, Zand Avenue, Shiraz 7138433608, Iran. aradmosalami@gmail.com |
Key Words |
Artificial intelligence; Machine learning; Orthopedics; Trauma |
Core Tip |
Machine learning is currently applied to image-screening assistance, predictive analytics, and intraoperative robotics, specifically in the trauma orthopedics field. Artificial intelligence can be used in the emergency department of trauma centers as a screening tool and aid to orthopedists, helping them improve their sensitivity and specificity and help shorten their diagnosis time. In real-life practice, orthopedic surgeons consider various factors when making a prediction; that is why machine learning-based predictive models include features such as history and physical exam data, along with imaging results. Artificial intelligence application may be able to identify such patterns and increase the chance of optimum results. |
Publish Date |
2023-06-26 20:57 |
Citation |
Salimi M, Parry JA, Shahrokhi R, Mosalamiaghili S. Application of artificial intelligence in trauma orthopedics: Limitation and prospects. World J Clin Cases 2023; 11(18): 4231-4240 |
URL |
https://www.wjgnet.com/2307-8960/full/v11/i18/4231.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v11.i18.4231 |
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