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AI outsmarts hidden jaw nerve, could prevent dental surgery mishaps

NCT ID NCT07114484

Diagnosis Sponsor: Sara Reda Abdelhamid Aboseif Source: ClinicalTrials.gov ↗

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
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 This study
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 Results may not be published yet.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)

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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

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Status unknown
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First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested an artificial intelligence (AI) model to see how well it can find a rare nerve variation in the jaw called a bifid mandibular canal on dental CT scans. Researchers used 117 existing scans from Egyptian patients aged 15 and older. The goal was to see if the AI could match expert dentists in spotting this variation, which if missed during surgery could lead to nerve damage.

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

117 people

The number who actually took part.

Started

May 2025

Finished

Oct 2025

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

CBCT scans were retrospectively collected from the database of the Oral and Maxillofacial Radiology Department at Cairo University. The population included adult patients who had previously undergone CBCT imaging for diagnostic purposes unrelated to bifid mandibular canal suspicion. The cases were selected to include both males and females from a diverse patient base representative of the general outpatient population attending the university dental hospital.

Ages

15 years and older

Sex

Anyone

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: * CBCT scans for Egyptian people older than 15 years old (both male and female subjects are to be included) * The field of view of the selected scans should clearly show at least one mandibular canal completely (from the mandibular foramen to the mental foramen) Exclusion Criteria: * CBCT images of sub-optimal quality or artifacts/high scatter interfering with the proper assessment of the mandibular canal course. * CBCT scans showing significant mandibular deformities. * CBCT scans showing severe bone loss that extends to the mandibular canal.

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As listed by the trial registrant

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

Bifid mandibular canal

Contacts and locations

Locations

  • Faculty of Dentistry, Cairo University

    Cairo, 12611, Egypt