The Application of Artificial-Intelligence-Assisted Dental Age Assessment in Children with Growth Delay

The Application of Artificial-Intelligence-Assisted Dental Age Assessment in Children with Growth Delay

Background: This study aimed to reveal the efficacy of the artificial intelligence (AI)-assisted dental age (DA) assessment in identifying the characteristics of growth delay (GD) in children. Methods: The panoramic films matching the inclusion criteria were collected for the AI model training to es...

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Bibliographic Details
Main Authors: Te-Ju Wu, Chia-Ling Tsai, Quan-Ze Gao, Yueh-Peng Chen, Chang-Fu Kuo, Ying-Hua Huang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Journal of Personalized Medicine
Subjects:
artificial intelligence
chronological age
convolutional neural network
dental age
Demirjian’s method
machine learning
Online Access:https://www.mdpi.com/2075-4426/12/7/1158

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https://www.mdpi.com/2075-4426/12/7/1158

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