Evaluating AI for Diagnosing and Treating Gummy Smiles: A Pilot Study

NCT07759843 | Recruiting

• 1 other identifier: 261124
• Study Type: observational
• Target: 210
• Locations: 1 country
• Sites: 1

Brief Summary

Some people have a "gummy smile," where too much gum tissue shows when they smile. Doctors currently diagnose this by hand, using rulers and visual judgment. This study is testing whether a computer program using artificial intelligence (AI) can help identify and measure gummy smiles from photographs, as accurately as expert dentists do it manually. Patients seen at Cairo University's Periodontics and Orthodontics clinics will have photos of their smile taken. Researchers will use these photos to first "teach" the AI program how to recognize and measure a gummy smile. Then, the AI will be tested on a new set of patient photos, and its measurements will be compared to measurements made by expert dentists, to see how closely they match. The goal is to find out whether this AI tool could one day help doctors diagnose gummy smiles more quickly and consistently, which may improve care for patients.

Conditions

Gummy Smile; Artifical Intelligence

Outcome Measures

Primary Outcomes (1)

• Diagnostic Accuracy of AI Software

  The primary outcome of the study is the diagnostic accuracy of the AI software. This metric will assess the ability of the software to accurately identify cases of gummy smile compared to traditional diagnostic methods. The results will be measured and reported as a percentage, providing a clear indication of the software's performance and reliability in clinical settings.

  During the Validation phase (Months 5-6) and Post-analytical phase (Months 7-8) of the study, when the AI model's measurements are tested against the reference standard

Secondary Outcomes (1)

• Effectiveness of treatment planning of AI Software

  Months 5 through 8 of the study (Validation and Post-analytical phases), during which the AI model's measurements are compared against the reference standard

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

patients with gummy smile

You may qualify if:

• Properly treated gummy smile cases either surgical through crown lengthening procedure / Orthognathic Surgery or non-surgical through orthodontic treatment /Botox injection.

You may not qualify if:

• Improperly treated gummy smile cases

Sponsors & Collaborators

• Cairo University: lead

Study Sites (1)

Faculty of dentistry, cairo university

Cairo, Cairo Governorate, 11251, Egypt

RECRUITING

Central Study Contacts

Hesham Ahmed Shamma, BDS

CONTACT

+201001101704; hesham.ahmed@dentistry.cu.edu.eg

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Master's degree candidate in Periodontology

Study Record Dates

• First Submitted: April 13, 2025
• First Posted: August 12, 2026
• Study Start: December 1, 2024
• Primary Completion (Estimated): December 1, 2026
• Study Completion (Estimated): December 1, 2026
• Last Updated: August 12, 2026

Record last verified: 2026-08

Locations

EG (1)