Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion

Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion

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.

Inclusion Criteria:

• anterior open bite

Exclusion Criteria:

• craniofacial syndromes, previous orthodontic treatment, poor quality records