Evaluation of artificial intelligence model for crowding categorization and extraction diagnosis using intraoral photographs

Determining the severity of dental crowding and the necessity of tooth extraction for orthodontic treatment planning are time-consuming processes and there are no firm criteria. Thus, automated assistance would be useful to clinicians. This study aimed to construct and evaluate artificial intelligen...

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Detalles Bibliográficos
Autores principales: Ryu, Jiho, Kim, Ye-Hyun, Kim, Tae-Woo, Jung, Seok-Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063582/
https://www.ncbi.nlm.nih.gov/pubmed/36997621
http://dx.doi.org/10.1038/s41598-023-32514-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063582/
https://www.ncbi.nlm.nih.gov/pubmed/36997621
http://dx.doi.org/10.1038/s41598-023-32514-7

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