Building artificial intelligence models for diagnosis of anterior open bite malocclusion
The study aims at creating artificial intelligence models, with the input being the pre-treatment photographs and radiographs of open bite patients that are routinely taken for diagnosis and treatment planning. The output of the AI model will be the type and phenotype of anterior open bite. The photographs and radiographs with highest quality will be arranged in certain standardized templates to facilitate the machine learning process.
Study Type
OBSERVATIONAL
Enrollment
200
artificial intelligence model of anterior open bite diagnosis
Orthodontic Department, Faculty of Dentistry, Cairo University
Cairo, Egypt
RECRUITINGthe efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite
The percentage of agreement between the AI model result and the actual diagnosis
Time frame: 8 months
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