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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Detalles Bibliográficos
Autores principales: Wu, Te-Ju, Tsai, Chia-Ling, Gao, Quan-Ze, Chen, Yueh-Peng, Kuo, Chang-Fu, Huang, Ying-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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