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AI vs. dentists: can chatbots diagnose tooth infections?

NCT ID NCT07732985

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 29, 2026 · Last updated Jul 30, 2026 · Updated 1 time

Summary

This trial tests whether three AI chatbots — ChatGPT, Gemini, and Claude — can accurately diagnose infections of the tooth pulp and surrounding tissues, and assess case difficulty, using patient data and dental X-rays. Their answers will be compared against a panel of dental experts. The goal is to see if AI could serve as a reliable decision-support tool in endodontics.

What this could mean

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

Active substance
Large language models (ChatGPT, Gemini, Claude) used to analyze clinical data and dental X-rays for diagnosis
What this could lead to
If AI can diagnose tooth infections as accurately as experts, it could become a quick, low-cost decision-support tool for dentists.
What could go wrong
This is an early-stage diagnostic study, not a treatment trial. The AI models may not perform well enough in real-world settings, and they cannot replace clinical judgment.

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 342 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

Jan 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

Systemically healthy adult patients (≥16 years) requiring primary endodontic treatment or retreatment at the Endodontic Department, Faculty of Dentistry, Cairo University, who provide informed consent.

Ages

16 years and older

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: 1. Age above 16 years old. 2. Systemically healthy patient (ASA I or II). 3. Requiring endodontic treatment or retreatment 4. Patient's acceptance to participate in the study Exclusion Criteria: 1. Medically compromised patients. 2. Pregnant women. 3. Traumatic dental injuries 4. Low quality periapical radiograph

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As listed by the trial registrant

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

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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