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AI dentist: computer vision takes on white spot lesions

NCT ID NCT07639749

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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study compares artificial intelligence analysis of dental photographs to standard clinical exams for detecting white spot lesions—early signs of tooth decay. Researchers will train AI models (YOLO and Mask-RCNN) on 329 labeled images from adult patients at Cairo University Dental Hospital. The goal is to see if AI can match the accuracy of experienced dentists in identifying and scoring these lesions.

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 models (YOLO and MASK-RCNN) analyzing intraoral photographs
What this could lead to
If successful, this could provide a faster, more consistent way to detect early tooth decay using photos instead of in-person exams.
What could go wrong
This is an early observational study, not a treatment trial. The AI may not perform as well as human dentists, and results may not apply to other populations 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

About 329 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Nov 2027

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 attending the Conservative Department of Cairo University Dental Clinic, aged from 20 to 60 years, presenting with white spot lesions of teeth, showing no signs or symptoms, demonstrating co-operation, and expressing interest in participating in the study will be considered eligible. Patients with orthodontic appliances or bridgework that could impact the clinical assessment process will be excluded.

Ages

20 to 60 years

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: 1. Adult patients aged 20 - 60 years 2. Males or Females 3. Patients with white spot lesions of teeth 4 - Co-operative patients with interest in participation in the study Exclusion Criteria: 1. Patients with orthodontic appliances or bridgework that might interfere with evaluation and assessment 2. Patients with no white spot lesions 3. Patients with systematic diseases that might affect participation 4. Patients refusing to sign the informed consent or not willing to be part of the study

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Conditions

The condition(s) this trial relates to.

enamel caries

As listed by the trial registrant

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

White spot lesion of tooth

How to take part

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

  1. 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 ↗

  2. 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.

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