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AI takes on root canals: can it beat the scan?

NCT ID NCT07319221

Diagnosis Sponsor: Future University in Egypt 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
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 Results may not be published yet.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)

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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether artificial intelligence (AI) can accurately count the number of root canals in lower second molars, compared to standard CBCT scans. Forty patients needing root canal treatment participated. The goal is to see if AI can help dentists avoid missing canals during treatment.

What this could mean

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

Active substance
Artificial intelligence software
What this could lead to
If successful, AI could help dentists find all root canals more easily during root canal treatment, reducing missed canals.
What could go wrong
This is a small, completed study with only 40 patients, so results may not apply to everyone. AI might not be as accurate as CBCT in all cases.

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

40 people

The number who actually took part.

Started

Nov 2024

Finished

Dec 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.

Ages

18 to 40 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: \- A- Inclusion criteria: 1. Patients must be medically free from any systemic disease that can affect root canal treatment. 2. Age range of the patients should be 18-40 with permanent mandibular second molars indicated for root canal treatment. 3. No sex predilection. 4. Patients must have good oral hygiene. 5. restorable teeth. 6. Positive patient"s acceptance for participating in the study. 7. Patients able to sign informed consent. B- Exclusion criteria: 1. Lower second molars which are non-restorable, having large perforations, external root resorption, vertical root fracture, internal root resorption, grade 2/3 mobility, previous successful/non-successful root canal treatment 2. Pregnant women after taking detailed history and pregnancy test must be in the first visit. 3. Psychologically disturbed patients. Teeth that have: • Periodontally affected with grade 2 or 3 mobility. 12 • Not restorable teeth. • Abnormal anatomy and calcified canals. • Previous root canal treatment.

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As listed by the trial registrant

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

Detecting number of root canal of human mandibular second molar

Contacts and locations

Locations

  • Future University Dental Hospital

    Cairo, Egypt