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

Condition(s) studied

Study 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.

Eligibility

Primary outcome measure(s)

• Diagnostic Accuracy of AI Software — 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
  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.

Trial sites (1)

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