Version 1
: Received: 8 April 2024 / Approved: 8 April 2024 / Online: 8 April 2024 (15:05:04 CEST)
How to cite:
Cheng, C.; Liang, X.; Guo, D.; Xie, D. Application of Artificial Intelligence in Shoulder Pathology. Preprints2024, 2024040581. https://doi.org/10.20944/preprints202404.0581.v1
Cheng, C.; Liang, X.; Guo, D.; Xie, D. Application of Artificial Intelligence in Shoulder Pathology. Preprints 2024, 2024040581. https://doi.org/10.20944/preprints202404.0581.v1
Cheng, C.; Liang, X.; Guo, D.; Xie, D. Application of Artificial Intelligence in Shoulder Pathology. Preprints2024, 2024040581. https://doi.org/10.20944/preprints202404.0581.v1
APA Style
Cheng, C., Liang, X., Guo, D., & Xie, D. (2024). Application of Artificial Intelligence in Shoulder Pathology. Preprints. https://doi.org/10.20944/preprints202404.0581.v1
Chicago/Turabian Style
Cheng, C., Dong Guo and Denghui Xie. 2024 "Application of Artificial Intelligence in Shoulder Pathology" Preprints. https://doi.org/10.20944/preprints202404.0581.v1
Abstract
The artificial intelligence (AI) refers to the science and engineering of creating intelligent machines for imitating and expanding human intelligence. Given the ongoing evolution of the multidisciplinary integration trend in modern medicine, numerous studies have investigated the power of AI to address orthopaedic-specific problems. One particular area of investigation focuses on the shoulder pathology, which is a range of disorders or abnormalities of shoulder joint, causing pain, inflammation, stiffness, weakness, and reduced range of motion. There has not yet been a comprehensive review of the recent advancements in this field. Therefore, the purpose of this review is to evaluate the current AI applications in the shoulder pathology. This review mainly summarizes several crucial stages of the clinical practice, including predictive models and prognosis, diagnosis, treatment, and physical therapy. In addition, the challenges and future development of AI are also discussed.
Keywords
shoulder pathology; artificial intelligence; modern medicine; clinical practice
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
