Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures

Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures

Abstract Background Treatments for distal radius fractures (DRFs) are determined by various factors. Therefore, quantitative or qualitative tools have been introduced to assist in deciding the treatment approach. This study aimed to develop a machine learning (ML) model that determines the need for...

Full description

Saved in:
Bibliographic Details
Main Authors: Jongmin Lim, Sehun Chang, Kwangsu Kim, Hee Jin Park, Eugene Kim, Seok Woo Hong
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Fracture management
Surgical decision-making
Clinical data integration
U-Net
Grad-CAM
SHAP
Online Access:https://doi.org/10.1186/s13018-025-05830-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13018-025-05830-z

Similar Items