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Artificial intelligence may spot gum disease from a simple photo

NCT ID NCT07727421

What the study statuses mean

This study's is highlighted.

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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 27, 2026 · Last updated Jul 28, 2026 · Updated 1 time

Summary

This trial tests whether an artificial intelligence model can accurately diagnose gingivitis — early gum disease — by analyzing digital photographs and X-rays. Researchers will compare the AI's assessments to those of dental experts. If it works, this approach could make gum disease screening faster and more accessible.

What this could mean

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

Active substance
an artificial intelligence diagnostic model that analyzes digital photographs and radiographs
What this could lead to
If successful, this could lead to a quick, automated way to diagnose gum disease without relying solely on expert clinical exams.
What could go wrong
This is an early-stage diagnostic study, and the AI's accuracy may not match expert diagnosis in real-world settings. The model may also struggle with certain patient groups, such as those with extensive pigmentation.

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

250 people

The number who actually took part.

Started

Mar 2025

Expected to finish

Sep 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

The study population consists of patients who attended dental clinics at Al-Azhar university and were evaluated for periodontal conditions, and whose digital clinical photographs or dental radiographs are utilized for training and validating the artificial intelligence model.

Ages

15 to 50 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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 in both genders within age range of 15-50 years * smokers patients * patient treated for stable systemic disease Exclusion Criteria: * pregnant women to avoid risk of panoramic x-ray * patient with active systemic diseases * patient taking antibiotics * patient receiving anticancer therapy * patient with excessive gingival hyperplasia and with extensive melanin pigmentation

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Faculty of dental medicine ,Al-Azhar unversity

    Cairo, الجيزة, Egypt

More trials for these conditions

Other studies related to the condition(s) this trial covers.