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AI vs. cavities: could a computer help dentists see decay sooner?

NCT ID NCT07648212

Knowledge-focused Sponsor: University of Michigan 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Aug 28, 2026 · Updated 3 times

Summary

This study tests whether artificial intelligence (AI) can improve how dental students and experienced dentists detect cavities on X-rays. About 60 participants will view dental X-rays, some enhanced by AI and some not, and answer questions about what they see. The goal is to see if AI helps people make more accurate diagnoses and treatment decisions.

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 radiograph enhancement
What this could lead to
If AI improves cavity detection, it could help dentists catch decay earlier and reduce unnecessary or missed treatments.
What could go wrong
This is a small, early-stage study with 60 participants. AI may not improve accuracy for all users, and results may not apply to real-world dental practice.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 60 people

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

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

May 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.

Ages

18 to 99 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.

Early learner Inclusion Criteria: * Provide informed consent * Willing to comply with all study procedures and be available for the duration of the study * Dental student in second, third, or fourth year of dental school at University of Michigan School of Dentistry Late learner Inclusion Criteria: * Provide informed consent * Willing to comply with all study procedures and be available for the duration of the study * Dental resident or junior faculty having at least 2 years of clinical experience outside of a dental education setting Exclusion Criteria for participants: * Dental students who do not have previous experience with caries detection (such as first year dental students) * Residents that do not have frequent exposure to caries detection, such as orthodontic, periodontic, oral surgery graduate residents.

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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.

Caries,dental

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

  • University of Michigan

    RECRUITING

    Ann Arbor, Michigan, 48109, United States

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