Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm

Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm

The application of artificial intelligence technology in the medical field has become increasingly prevalent, yet there remains significant room for exploration in its deep implementation. Within the field of orthopedics, which integrates closely with AI due to its extensive data requirements, rotat...

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Bibliographic Details
Main Authors: Zhewei Zhang, Chunhai Ke, Zhibin Zhang, Yujiong Chen, Hangbin Weng, Jieyang Dong, Mingming Hao, Botao Liu, Minzhe Zheng, Jin Li, Shaohua Ding, Yihong Dong, Zhaoxiang Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Artificial Intelligence
Subjects:
deep learning
rotator cuff retear
graph convolution network
prediction model
big data
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1331853/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2024.1331853/full

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