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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...
Autores principales: | Ryu, Jiho, Kim, Ye-Hyun, Kim, Tae-Woo, Jung, Seok-Ki |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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