Evaluating AI for Diagnosing and Treating Gummy Smiles: A Pilot Study
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorCairo University
About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
Properly treated gummy smile cases either surgical through crown lengthening procedure / Orthognathic Surgery or non-surgical through orthodontic treatment /Botox injection.
Disqualifiers
Improperly treated gummy smile cases
Trial population
patients with gummy smile
Trial design
Design model
Other
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
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.
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 standardSecondary outcomes
1
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 standardSponsors and contacts
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Source ClinicalTrials.gov