Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospective observational study

Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospective observational study

Abstract Background Temporomandibular disorders (TMDs) are frequently associated with posterior condylar displacement; however, early prediction of this displacement remains a significant challenge. Therefore, in this study, we aimed to develop and evaluate a predictive model for bilateral posterior...

Full description

Saved in:
Bibliographic Details
Main Authors: Huachao Sui, Mo Xiao, Xueqing Jiang, Jiaye Li, Feng Qiao, Bin Yin, Yuanyuan Wang, Ligeng Wu
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Oral Health
Subjects:
Posterior condylar displacement
Nomogram
Machine learning
Online Access:https://doi.org/10.1186/s12903-025-06098-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items