Classification of Maxillofacial Morphology by Artificial Intelligence Using Cephalometric Analysis Measurements

Classification of Maxillofacial Morphology by Artificial Intelligence Using Cephalometric Analysis Measurements

The characteristics of maxillofacial morphology play a major role in orthodontic diagnosis and treatment planning. While Sassouni’s classification scheme outlines different categories of maxillofacial morphology, there is no standardized approach to assigning these classifications to patients. This...

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Bibliographic Details
Main Authors: Akane Ueda, Cami Tussie, Sophie Kim, Yukinori Kuwajima, Shikino Matsumoto, Grace Kim, Kazuro Satoh, Shigemi Nagai
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Diagnostics
Subjects:
orthodontics
cephalograms
artificial intelligence (AI)
machine learning
random forest classifier (RF)
k-fold
Online Access:https://www.mdpi.com/2075-4418/13/13/2134

Internet

https://www.mdpi.com/2075-4418/13/13/2134

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