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AI reads gum recession from photos: could sharpen dental diagnoses

NCT ID NCT07693322

Diagnosis Sponsor: Al-Azhar University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time

Summary

This study develops and tests an artificial intelligence model that analyzes standard dental photographs to detect gum recession, classify its severity, and suggest treatment options. Researchers use images from adults with visible gum recession to train the AI and compare its accuracy against expert dentists. The goal is to create a reliable tool that supports clinicians in diagnosing and managing this common dental condition.

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-Based Clinical Image Analysis Model
What this could lead to
If successful, this AI tool could help dentists detect and classify gum recession more consistently, leading to better treatment planning.
What could go wrong
This is an early-stage diagnostic model, not a treatment. Its accuracy depends on image quality and may not generalize to all patients or settings.

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

149 people

The number who actually took part.

Started

Jun 2025

Finished

Apr 2026

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

The study population will consist of adult patients presenting with gingival recession affecting anterior teeth and attending the outpatient clinics of the Faculty of Dental Medicine for Girls, Al-Azhar University. Participants with clinically visible anterior gingival recession and adequate clinical photographs suitable for image analysis will be included in the study.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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: * Patients aged 18 years or older * Presence of at least one anterior tooth exhibiting gingival recession classified according to the Cairo classification system (RT1, RT2, or RT3). - The gingival margin must be clearly visible. * High-quality images (good focus, lighting, and resolution) are required. * Clinically visible and intact cementoenamel junction (CEJ). Exclusion Criteria: * Presence of cervical restorations or fixed prostheses that interfere with CEJ identification. * Patients undergoing active orthodontic treatment. * Pregnant individuals, due to hormonal changes affecting gingival tissues. * Images with poor photographic quality.

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Conditions

The condition(s) this trial relates to.

gingival recession

As listed by the trial registrant

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

Gingival recessions

Contacts and locations

Locations

  • Faculty of Dental Medicine for Girls, Al-Azhar University

    Cairo, Egypt

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