YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons

YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons

Purpose: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accura...

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Bibliographic Details
Main Authors: Xue-Si Liu, Rui Nie, Ao-Wen Duan, Li Yang, Xiang Li, Le-Tian Zhang, Guang-Kuo Guo, Qing-Shan Guo, Dong-Chu Zhao, Yang Li, He-Hua Zhang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Chinese Journal of Traumatology
Subjects:
Artificial intelligence
Intertrochanteric fracture
Fracture classification
Assist diagnosis
YOLOX
Swin transformer
Online Access:http://www.sciencedirect.com/science/article/pii/S1008127524000518
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