Evaluation of artificial intelligence model for crowding categorization and extraction diagnosis using intraoral photographs
Abstract 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 i...
Main Authors: | Jiho Ryu, Ye-Hyun Kim, Tae-Woo Kim, Seok-Ki Jung |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-32514-7 |
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