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Articles Published Processes
10/13/2023 2:28:02 PM | Browse: 163 | Download: 456
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Received |
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2023-08-15 10:03 |
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Peer-Review Started |
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2023-08-15 10:03 |
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To Make the First Decision |
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Return for Revision |
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2023-08-31 03:22 |
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Revised |
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2023-09-14 09:42 |
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Second Decision |
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2023-09-22 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-09-22 07:32 |
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Articles in Press |
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2023-09-22 07:32 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-09-27 07:14 |
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Publish the Manuscript Online |
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2023-10-13 14:28 |
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: https://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 |
Retrospective Study |
Article Title |
Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Sheng-Xiong Tong, Ren-Song Li, Dan Wang, Xiao-Meng Xie, Yuan Ruan and Lin Huang |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Lin Huang, MD, Doctor, Doctor, Department of Orthopaedics, Huanggang Central Hospital, No. 6 Qi'an Avenue, Huangzhou District, Huanggang 438000, Hubei Province, China. lhuang0727@sina.com |
Key Words |
Artificial intelligence technology; Ultrasound guidance; Nerve blocks; Total knee arthroplasty; Analgesia effects |
Core Tip |
Entering the century of rapid development, the phenomenon of aging population is also increasing, aging problems have received widespread social attention, middle-aged and elderly people are prone to knee joint lesions, the most important feature of knee joint lesions is its multiple, this disease affects the motor function of the elderly. This study aimed to investigate the analgesic effect of artificial intelligence (AI) and ultrasound-guided nerve block in total knee arthroplasty (TKA). The authors found that in TKA, the combination of AI technology and ultrasound-guided nerve block has a significantly effect, with fewer postoperative complications and significantly analgesic effect, which is worthy of application. |
Publish Date |
2023-10-13 14:28 |
Citation |
Tong SX, Li RS, Wang D, Xie XM, Ruan Y, Huang L. Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty. World J Clin Cases 2023; 11(29): 7026-7033 |
URL |
https://www.wjgnet.com/2307-8960/full/v11/i29/7026.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v11.i29.7026 |
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