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

医学 骨科手术 人口 医学物理学 人工智能 外科 计算机科学 环境卫生
作者
Jingqi Guan,Zuhao Li,Shihao Sheng,Qiushui Lin,S. Wang,Dongliang Wang,Xiao Chen,Jiacan Su
出处
期刊:International Journal of Surgery [Elsevier]
卷期号:111 (2): 2162-2181 被引量:11
标识
DOI:10.1097/js9.0000000000002187
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.
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