Summary
Orthodontics can correct deformities in the maxillofacial region by making growth modifications with orthopedic devices. Skeletal orthodontic deformities are divided into three; Class I, Class II, and Class III. The ideal age of intervention for these three classifications is different. Class III problems should be detected at age 7, but diagnosis is difficult even for the orthodontist at this age when symptoms are not yet discernible to the human eye. Even when the cephalometric film taken with an X-ray is analyzed, it may not be noticed by people. In addition, it is not possible to have an orthodontic examination for children all around the world before the age of 7. The main tasks carried out by our application include screening for the preliminary diagnosis by identifying symptoms in the profile photo; informing the parents; directing to the doctor, and facilitating the doctor-patient interaction. For Class III, the accuracy rate of correctly classified images was found to be 81.66%. The current prototype was created using statistical data from the Turkish population, and an application that can extract various skeletal characteristics from any given data training set is currently being developed. We intend to expand to the international market and create a training model for various races once we can diagnose Class I and Class II problems with the same accuracy.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101113949 |
| Start date: | 01-08-2023 |
| End date: | 31-07-2024 |
| Total budget - Public funding: | - 75 000,00 Euro |
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Original description
Orthodontics can correct deformities in the maxillofacial region by making growth modifications with orthopedic devices. Skeletal orthodontic deformities are divided into three; Class I, Class II, and Class III. The ideal age of intervention for these three classifications is different. Class III problems should be detected at age 7, but diagnosis is difficult even for the orthodontist at this age when symptoms are not yet discernible to the human eye. Even when the cephalometric film taken with an X-ray is analyzed, it may not be noticed by people. In addition, it is not possible to have an orthodontic examination for children all around the world before the age of 7. The main tasks carried out by our application include screening for the preliminary diagnosis by identifying symptoms in the profile photo; informing the parents; directing to the doctor, and facilitating the doctor-patient interaction. For Class III, the accuracy rate of correctly classified images was found to be 81.66%. The current prototype was created using statistical data from the Turkish population, and an application that can extract various skeletal characteristics from any given data training set is currently being developed. We intend to expand to the international market and create a training model for various races once we can diagnose Class I and Class II problems with the same accuracy.Status
SIGNEDCall topic
HORIZON-EIE-2022-SCALEUP-02-02Update Date
12-03-2024
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