Using AI to diagnose anterior open bite malocclusion
Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion
Cairo University · NCT06140849
This study is testing whether artificial intelligence can help dentists diagnose a specific type of bite problem by analyzing photos and X-rays of patients' mouths.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 200 (estimated) |
| Ages | 7 Years to 60 Years |
| Sex | All |
| Sponsor | Cairo University (other) |
| Locations | 1 site (Cairo) |
| Trial ID | NCT06140849 on ClinicalTrials.gov |
What this trial studies
This study focuses on developing artificial intelligence models to diagnose anterior open bite malocclusion using pre-treatment photographs and radiographs. The AI models will analyze these images to determine the type and phenotype of the open bite condition. High-quality images will be organized into standardized templates to enhance the machine learning process, aiming for accurate and efficient diagnosis.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals diagnosed with anterior open bite malocclusion.
Not a fit: Patients with craniofacial syndromes, previous orthodontic treatment, or poor quality records may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate and timely diagnoses for patients with anterior open bite malocclusion.
How similar studies have performed: While the use of AI in orthodontics is emerging, this specific application for diagnosing anterior open bite malocclusion is relatively novel and has not been extensively tested in previous studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * anterior open bite Exclusion Criteria: * craniofacial syndromes, previous orthodontic treatment, poor quality records
Where this trial is running
Cairo
- Orthodontic Department, Faculty of Dentistry, Cairo University — Cairo, Egypt (RECRUITING)
Study contacts
- Study coordinator: Heba Akl, BDS, MSc., PhD
- Email: heba.akl@dentistry.cu.edu.eg
- Phone: +201227418915
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Artificial Intelligence, Open Bite