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AI spots hidden cavities in dental X-Rays – but can it beat the dentist?

NCT ID NCT07404007

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 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether an artificial intelligence (AI) program could reliably find cavities between teeth (proximal caries) on digital dental X-rays. Researchers compared the AI's performance to diagnoses made by expert dentists. The study involved 2000 participants and used bitewing radiographs. The AI was evaluated only for diagnostic accuracy and did not change any patient treatment.

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 analyzing dental X-rays
What this could lead to
If successful, this AI could help dentists catch hidden cavities earlier and more consistently, improving dental care.
What could go wrong
This is a completed diagnostic study, not a treatment trial. The AI was only tested on X-rays and did not influence patient care, so real-world benefits are not yet proven.

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

2,000 people

The number who actually took part.

Started

Jan 2023

Finished

Dec 2025

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 attending the Faculty dental out patient clinic who required bitewing radiographic examination for routine diagnosis or treatment planning.

Ages

18 to 70 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 having all Permanent premolars and molars (maximum one tooth missing on each side) Exclusion Criteria: * 1-Dental Anomalies →Amelogenesis Imperfecta, Dentinogenesis Imperfecta, taurodontism 2- Severe crowding which prevent visualization of teeth Contacts 3-Orthodontic wires bonded to Enamel of the tooth

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Conditions

The condition(s) this trial relates to.

dental caries

As listed by the trial registrant

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

Proximal caries Tooth caries

Contacts and locations

Locations

  • Ain Shams University

    Cairo, 11331, Egypt

More trials for these conditions

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