Application progress of machine learning in orthopedic diagnosis and treatment
10.3760/cma.j.cn121382-20230504-00412
- VernacularTitle:机器学习在骨科诊疗中的应用进展
- Author:
Tongtong HUO
1
;
Jiayao ZHANG
;
Honglin WANG
;
Jiaming YANG
;
Wei WU
;
Zhewei YE
Author Information
1. 华中科技大学同济医学院附属协和医院骨科，武汉 430022
- Keywords:
Orthopedics;
Artificial intelligence;
Machine learning;
Deep learning;
Computer-aided diagnosis
- From:
International Journal of Biomedical Engineering
2023;46(4):355-359
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, artificial intelligence-related technologies have been deeply combined with many medical fields, and the intersection of medicine and engineering has become a hot topic. There are problems with heavy data and difficulty making decisions in orthopedic disease diagnosis and treatment. Machine learning is an important method of artificial intelligence. Since it can automatically analyze and predict medical big data, it is widely used in the field of orthopedics. It also assists physicians in completing disease diagnosis and treatment efficiently. In this review paper, the application and progress of machine learning in preoperative, intraoperative, and postoperative diagnosis and treatment in orthopedics are reviewed, providing new ways for exploring more rational diagnosis and treatment strategies.
