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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...
Autores principales: | Wu, Te-Ju, Tsai, Chia-Ling, Gao, Quan-Ze, Chen, Yueh-Peng, Kuo, Chang-Fu, Huang, Ying-Hua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322373/ https://www.ncbi.nlm.nih.gov/pubmed/35887655 http://dx.doi.org/10.3390/jpm12071158 |
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