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骨科手术与运动医学领域由人工智能驱动的一场革命。

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

作者信息

Guan Jiekai, Li Zuhao, Sheng Shihao, Lin Qiushui, Wang Sicheng, Wang Dongliang, Chen Xiao, Su Jiacan

机构信息

Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai, China.

出版信息

Int J Surg. 2025 Feb 1;111(2):2162-2181. doi: 10.1097/JS9.0000000000002187.

Abstract

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.

摘要

随着人口老龄化的加剧,骨科疾病的发病率逐年上升。许多骨科疾病的早期诊断和精准治疗仍需要技术进步来有效解决。随着人工智能(AI)的迅速发展,这项技术有望实现多种疾病的早期诊断并改善治疗效果,给临床带来革命性变化。然而,AI在骨科领域的整合仍处于起步阶段,其现有的智能算法已有的临床应用模式及其优势有待进一步总结,为未来的发展和探索铺平道路。本综述简要概述了AI在骨科领域的基本概念和机制,并在四个应用和发展领域总结了骨科手术和运动医学,具体包括:开发精准诊断、辅助治疗、康复期间的监测辅助以及加强教育研究和数据分析。在本节中,主要关注目前临床应用中使用的AI程序的各个方面,并将其与纯手动结果进行比较。总之,预计AI的持续应用和发展将加深我们对骨科疾病的诊断、进展和预后的理解,最终为更有效的临床应用奠定基础。

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