An artificial intelligence-driven revolution in orthopedic surgery and sports medicine

被引:2
作者
Guan, Jiekai [1 ]
Li, Zuhao [1 ,2 ,3 ]
Sheng, Shihao [1 ]
Lin, Qiushui [4 ]
Wang, Sicheng [5 ]
Wang, Dongliang [1 ]
Chen, Xiao [1 ,2 ,3 ]
Su, Jiacan [1 ,2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Xinhua Hosp, Sch Med, Dept Orthoped, Shanghai, Peoples R China
[2] Shanghai Univ, Inst Translat Med, Organoid Res Ctr, Shanghai, Peoples R China
[3] Shanghai Univ, Natl Ctr Translat Med Shanghai SHU Branch, SHU Branch, Shanghai, Peoples R China
[4] Naval Med Univ, Affiliated Hosp 1, Dept Spine Surg, Shanghai, Peoples R China
[5] Shanghai Zhongye Hosp, Dept Orthoped, Shanghai, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
artificial intelligence; early diagnosis; orthopedic diseases; precise treatment; sports medicine; FUTURE; VALIDATION; SYSTEM;
D O I
10.1097/JS9.0000000000002187
中图分类号
R61 [外科手术学];
学科分类号
摘要
With the advancement of population aging, the incidence of orthopedic diseases increases annually. The early diagnosis and precise treatment of many orthopedic diseases still require advancements in technology to address effectively. With the rapid development of artificial intelligence (AI), this technology is expected to achieve early diagnosis and improved treatment of many diseases, providing revolutionary changes in clinical. However, the integration of AI in orthopedics is still in its infancy, and its existing intelligent algorithms have been clinically applied models and their advantages need to be further summarized to pave the way for future development and exploration. The review provides a concise overview of the basic concepts and mechanisms of AI in orthopedics, and summarizes orthopedic surgery and sports medicine in four areas of application and development, specifically, developing precision diagnostics, assisting treatment, monitoring assisted during rehabilitation, and enhancing educational research and data analysis. In this section, the main focus is on each aspect of the AI programs that are now used in clinical applications, and also comparing them to the purely manual results. In conclusion, the continued application and development of AI are anticipated to enhance our understanding of the diagnosis, progression, and prognosis of orthopedic diseases, ultimately laying the groundwork for more effective clinical applications.
引用
收藏
页码:2162 / 2181
页数:20
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