A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

ABSTRACT Objective Distal radius fractures account for 12%–17% of all fractures, with accurate classification being crucial for proper treatment planning. Studies have shown that in emergency settings, the misdiagnosis rate of hand/wrist fractures can reach up to 29%, particularly among non‐speciali...

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Main Authors: Xing‐bo Cai, Ze‐hui Lu, Zhi Peng, Yong‐qing Xu, Jun‐shen Huang, Hao‐tian Luo, Yu Zhao, Zhong‐qi Lou, Zi‐qi Shen, Zhang‐cong Chen, Xiong‐gang Yang, Ying Wu, Sheng Lu
Format: Article
Language:English
Published: Wiley 2025-05-01
Series:Orthopaedic Surgery
Subjects:
artificial intelligence
computer‐aided diagnosis
distal radius fracture
principal component analysis
statistical shape model
Online Access:https://doi.org/10.1111/os.70034
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https://doi.org/10.1111/os.70034

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