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AI could write dental X-Ray reports, study explores

NCT ID NCT07676318

Knowledge-focused Sponsor: Hospital of the Ministry of Interior, Kielce, Poland 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 30, 2026 · Last updated Jul 01, 2026 · Updated 1 time

Summary

This study tests whether large language models (a type of AI) can turn structured dental X-ray data into clear, narrative reports. Researchers will compare AI-generated reports with traditional ones, checking for accuracy, completeness, and safety. The goal is to see if this technology could make dental reporting faster and more consistent.

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 model-assisted radiology report generation
What this could lead to
If successful, this could streamline dental radiology reporting, saving time and reducing variability in report wording.
What could go wrong
This is an early-stage observational study with 100 records; the model may produce errors or lack clinical nuance, and it is not intended for direct patient care.

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 100 people

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

Expected to start

Jun 2026

An estimate. Start dates often move.

Expected to finish

Jul 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 will consist of dental radiology records from patients admitted to the radiology department in Kielce, a city in southern Poland with approximately 200,000 inhabitants. Eligible records will include dental X-ray examinations performed on the basis of a written referral from a dentist or physician, including examinations performed for screening, diagnostic, or treatment-planning purposes. The study will include records from patients with permanent dentition after completion of exfoliation, provided that structured dental radiology data are available for transformation into narrative radiology reports.

Ages

18 years and older

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: * Dental radiology records based on dental X-ray examination performed on the basis of a written referral from a dentist or physician * Dental X-ray examinations performed for screening, diagnostic, or treatment-planning purposes * Records from patients with permanent dentition after completion of exfoliation Exclusion Criteria: * Records from patients with mixed dentition before completion of exfoliation * Records with incomplete, ambiguous, or internally inconsistent structured dental radiology data preventing reliable report generation * Records with missing information required for evaluation of the generated report * Duplicate records from the same radiographic examination * Records in which anonymization or pseudonymization cannot be ensured

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As listed by the trial registrant

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

Dentistry Large language model Natural language processing (NLP) Oral health Radiography

How to take part

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  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

  • Department of Maxillofacial Surgery

    Kielce, Świętokrzyskie Voivodeship, 25-375, Poland

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