Artificial Intelligence, Open Bite
Conditions
Brief summary
Building artificial intelligence models for diagnosis of anterior open bite malocclusion
Detailed description
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.
Interventions
DIAGNOSTIC_TESTartificial intelligence model
artificial intelligence model of anterior open bite diagnosis
Sponsors
Future University in Egypt
Cairo University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
7 Years to 60 Years
Healthy volunteers
No
Inclusion criteria
* anterior open bite
Exclusion criteria
* craniofacial syndromes, previous orthodontic treatment, poor quality records
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite | 8 months | The percentage of agreement between the AI model result and the actual diagnosis |
Countries
Egypt
Contacts
Primary ContactHeba Akl, BDS, MSc., PhD
Outcome results
None listed