Research progress in application of deep learning technology for fracture diagnosis
10.3760/cma.j.cn501098-20221001-00660
- VernacularTitle:深度学习技术在骨折诊断中应用的研究进展
- Author:
Rui QU
1
;
Kainan LI
Author Information
1. 成都大学机械工程学院, 成都 610106
- Keywords:
Factures, bone;
Diagnosis;
Artificial intelligence;
Deep learning
- From:
Chinese Journal of Trauma
2023;39(4):378-384
- CountryChina
- Language:Chinese
-
Abstract:
Fractures are mostly caused by direct or indirect external forces and may lead to death in worsened situations. Timely and accurate diagnosis of fractures is critical in determining the severity of injury. Medical imaging is an important diagnosis and evaluation tool for fractures, but uncertain imaging, excessive images and doctors′ subjective reading will weaken diagnosis efficiency and affect subsequent treatment. Whereas, fracture diagnosis models based on deep learning technology can effectively reduce missed diagnosis and misdiagnosis caused by unclear fracture imaging, showing good diagnostic potential. The authors reviewed the deep learning technology and its application in fracture diagnosis, hoping to offer new ideas for the research and application of deep learning technology in fracture diagnosis.
