AI could help dentists spot tricky root canal shapes in seconds
NCT ID NCT07697378
First seen Jul 13, 2026 · Last updated Jul 14, 2026 · Updated 1 time
Summary
This study tests whether a deep learning model can automatically classify and create 3D maps of C-shaped root canals from cone-beam CT scans. C-shaped canals are a complex variation that can be hard to diagnose and treat. The model's accuracy will be compared to expert endodontists using scans from 112 adults.
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 framework (Attention U-Net)
- What this could lead to
- If successful, this could provide dentists with a fast, automated tool to accurately diagnose complex root canal shapes, potentially improving treatment outcomes.
- What could go wrong
- This is a retrospective study using existing scans, so real-world performance may differ. The model's accuracy depends on image quality and may not generalize to all dental practices.
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
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About 112 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Sep 2026
An estimate. Start dates often move.
- Expected to finish
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Oct 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.
Who is studied
Retrospective collection of anonymized CBCT scans from the Faculty of Dentistry, Cairo University as well as private radiology service/ dental clinics and publicly available datasets.
- Ages
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18 to 60 years
- Sex
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Anyone
- Healthy volunteers
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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 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 C- shaped canals of patients aged 18 years or older, with satisfactory image quality, characterized by adequate sharpness, contrast and noise levels, enabling accurate delineation of pulp chambers and root canals. Additionally, the CBCT scans needed to have a field of view (FOV) covering the area of interest. Exclusion Criteria: * Patients younger than 18 years. CBCT scans with poor image quality (e.g., motion artifacts, excessive noise, low contrast, or beam hardening artifacts). Incomplete field of view that does not include the tooth of interest.
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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.