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.
This is a diagnostic accuracy test to evaluate the accuracy of decisions made by the computer generated program in the cases of gummy smile compared to the conventional decisions made by the periodontist as a gold standard.
Study Type
OBSERVATIONAL
Enrollment
210
Faculty of dentistry, cairo university
Cairo, Cairo Governorate, Egypt
RECRUITINGDiagnostic 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.
Time frame: 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
Effectiveness of treatment planning of AI Software
The secondary outcome of the study is the effectiveness of the treatment planning generated by the AI software. This metric will examine how well the software formulates treatment plans for cases of gummy smile in comparison to conventional methods used by periodontists. The effectiveness will be quantified and reported as a percentage, allowing for an assessment of the AI's ability to propose viable and successful treatment options. By focusing on treatment planning, this outcome aims to highlight the potential of AI technology to improve clinical decision-making and patient outcomes in periodontal care
Time frame: 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
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