AI could uncover hidden root canals, saving teeth from failure
NCT ID NCT07689708
First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence model can accurately detect extra root canals in lower premolars using 3D dental X-rays (CBCT). Missed canals are a common cause of root canal failure, especially in these teeth. Researchers will compare the AI's findings with assessments from expert radiologists using 272 scans from Egyptian patients. If accurate, the AI could help dentists avoid missing canals and improve treatment success.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI model
- What this could lead to
- If successful, this AI could help dentists detect hidden root canals more reliably, reducing missed canals and improving root canal treatment outcomes.
- What could go wrong
- This is a retrospective study with 272 scans from one population; the AI may not perform as well in other groups or real-world 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.
- Phase
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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
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About 272 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Jul 2026
An estimate. Start dates often move.
- Expected to finish
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Jul 2027
An estimate. End dates often move.
- Lead sponsor
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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
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18 to 65 years
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide 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: * CBCT scans of mandibular molars of Egyptian patients aging from 18 to 65 years old * Small Field of view (FOV) including maximum a quadrant * Voxel size not larger than 2mm * Mandibular premolars showing complete root formation * Carious or non-carious teeth * Absence of artifacts. Exclusion Criteria: * Mandibular first and second premolars with developmental anomalies, external or internal root resorption, root canal calcification, previous root canal treatment, post restorations, and/or root caries * CBCT images of sub-optimal quality or artifacts/high scatter interfering with proper assessment
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As listed by the trial registrant
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How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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.