Application of Artificial Intelligence in Shoulder Pathology

被引：1
作者：
Cheng, Cong [1 ,2 ]
Liang, Xinzhi [2 ]
Guo, Dong [2 ]
Xie, Denghui [2 ,3 ]
机构：
[1] Peoples Hosp Longhua, Dept Orthopaed, Shenzhen 518000, Peoples R China
[2] Southern Med Univ, Orthoped Hosp Guangdong Prov, Affiliated Hosp 3, Dept Joint Surg & Sports Med,Ctr Orthoped Surg, Guangzhou 510630, Peoples R China
[3] Southern Med Univ, Affiliated Hosp 3, Guangdong Prov Key Lab Bone & Joint Degenerat Dis, Guangzhou 510630, Peoples R China
来源：
DIAGNOSTICS | 2024年 / 14卷 / 11期
关键词：
shoulder pathology; artificial intelligence; modern medicine; clinical practice; PERITENDINOUS EFFUSION; MEDICINE;
D O I：
10.3390/diagnostics14111091
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
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 orthopedic-specific problems. One particular area of investigation focuses on shoulder pathology, which is a range of disorders or abnormalities of the 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 current AI applications in 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 technology are also discussed.
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页数：18
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