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NCT Number: NCT07759843

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

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.

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Key information

Conditions

Gummy Smile Artifical Intelligence

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Faculty of dentistry, cairo university

Cairo, Cairo Governorate, 11251, Egypt

Location status: Recruiting

About this study

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.

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

  • Improperly treated gummy smile cases

Treatment and study plan

Primary outcomes

  1. Diagnostic Accuracy of AI Software

    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

    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.

Secondary outcomes

  1. Effectiveness of treatment planning of AI Software

    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

    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

Study contacts

Contact information is provided by the study sponsor or research team.

Hesham Ahmed Shamma, BDS

CONTACT

[email protected]

+201001101704

Sponsors and collaborators

Lead sponsor

Cairo University

Other

Registry information

Official study title

Assessment of the Diagnostic Accuracy of Artificial Intelligence in Gummy Smile Diagnosis & Treatment Planning: A Pilot Study

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Aug 12, 2026
Registry last updated
Aug 12, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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