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AI reads dental x-rays to grade root canal quality

NCT ID NCT07684482

Diagnosis Sponsor: Cairo University Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study tests an artificial intelligence system that automatically evaluates the quality of root canal fillings using dental X-rays. The AI analyzes features like filling length, uniformity, and shape, then classifies the treatment as acceptable or needing improvement. Researchers will compare the AI's results with assessments from experienced dental specialists to see if the technology can provide a reliable, consistent evaluation method.

What this could mean

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

Active substance
deep learning model
What this could lead to
If successful, this AI tool could help dentists quickly and consistently assess root canal quality, potentially improving treatment outcomes and reducing the need for repeat procedures.
What could go wrong
This is an early-stage study using existing X-rays, not a real-world test. The AI may not perform as well in different clinics or with varied image quality.

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 490 people

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

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Jul 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 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.

Periapical radiographs of teeth with completed root canal treatment from patients Aged between 18 and 60 years will be included, provided they exhibit satisfactory image quality characterized by adequate sharpness, contrast, and minimal noise, allowing clear visualization of the root canal filling and apical region. The radiographs must enable accurate assessment of obturation quality, including filling length, homogeneity, and taper. Both single-rooted and multi-rooted teeth will be considered to ensure adequate anatomical representation. Radiographs with poor image quality, significant distortion, metallic artifacts, post-core restorations, root resorption, fractures, or incomplete visualization of the apex will be excluded to ensure reliable analysis.

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Conditions

The condition(s) this trial relates to.

Bites and Stings

As listed by the trial registrant

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

Obturation quality Root canal treatment

How to take part

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  1. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

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  2. A doctor treating you

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