Using AI to analyze gummy smiles
Deep Learning-Based Evaluation of Gummy Smile: Development and Validation of a Segmentation Model
This study is testing a new AI tool to see if it can help dentists better understand and analyze gummy smiles by looking at pictures of them.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1740 (estimated) |
| Ages | 12 Years and up |
| Sex | All |
| Sponsor | Gazi University Academic / other |
| Locations | 1 site (Ankara, Cankaya) |
| Trial ID | NCT06965387 on ClinicalTrials.gov |
What this trial studies
This study focuses on developing an AI-supported model to objectively evaluate gummy smiles, which are characterized by excessive gum visibility when smiling. By utilizing a unique dataset of images obtained through standardized clinical protocols, the study aims to provide a reproducible analysis that considers both aesthetic and periodontal health perspectives. The model will be trained on images labeled by an expert, addressing the limitations of current subjective evaluation methods in dental practice.
Who should consider this trial
Good fit: Ideal candidates for this study are individuals aged 12 years or older with no maxillary anterior tooth loss.
Not a fit: Patients with missing anterior maxillary teeth, significant anatomical pathologies, or factors that interfere with their smile may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate assessments of gummy smiles, improving patient communication and treatment planning.
How similar studies have performed: While the use of AI in dental image analysis is emerging, this specific approach to gummy smile segmentation is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Individuals aged 12 years or older with no maxillary anterior (teeth #13-23) tooth loss will be included in the study. Exclusion Criteria: * Patients with missing anterior maxillary teeth (teeth #13-23), significant anatomical pathologies, or smile-interfering factors (e.g., facial piercings, orthodontic appliances, facial hair) will be excluded.
Where this trial is running
Ankara, Cankaya
- Gazi University — Ankara, Cankaya, Turkey (Türkiye) (Recruiting)
Study contacts
- Study coordinator: Zeynep Turgut Cankaya, Associate Professor
- Email: zeynepturgut@gazi.edu.tr
- Phone: +90 5333899618
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.