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Can a computer spot a gummy smile as well as a dentist?

NCT ID NCT07759843

Diagnosis Sponsor: Cairo University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Aug 12, 2026 · Last updated Aug 13, 2026 · Updated 1 time

Summary

This study tests whether artificial intelligence (AI) can accurately diagnose a gummy smile—where too much gum shows when smiling—from photographs. Researchers will train the AI using photos from patients at Cairo University, then compare its measurements to those made by expert dentists. The goal is to see if AI could help make diagnosis faster and more consistent, potentially improving treatment planning.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Artificial intelligence software for diagnosing gummy smiles from photographs
What this could lead to
If successful, this AI tool could help dentists diagnose gummy smiles more quickly and consistently, potentially improving treatment planning and patient care.
What could go wrong
This is a small pilot study, and the AI's accuracy may not match expert judgment in all cases. The software is still experimental and not yet ready for widespread clinical use.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 210 people

The number the study aims to enrol. It can still change while the study runs.

Started

Dec 2024

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

patients with gummy smile

Ages

18 years and older

Sex

Anyone

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Artifical intelligence Gummy smile

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Faculty of dentistry, cairo university

    RECRUITING

    Cairo, Cairo Governorate, 11251, Egypt

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