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Machine Learning for Vertical Root Fracture Diagnosis by ernesto fidel aramendiz galindo is a document available to read on EtoBox.

What is Machine Learning for Vertical Root Fracture Diagnosis about?

This study developed machine learning models to diagnose vertical root fractures (VRF) in endodontically treated teeth using clinical features and cone beam computed tomography data. The models, particularly XGBoost and LightGBM, demonstrated high accuracy with area under the curve values of 0.98, and identified key factors contributing to VRF detection. The findings suggest that these AI-powered tools can enhance clinical decision-making and treatment planning for VRF cases.

Author

ernesto fidel aramendiz galindo

Language

EN