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AI takes on orthodontic diagnosis: can it match expert dentists?

NCT ID NCT07690774

Diagnosis Sponsor: Ben Hafeed Dental Center 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study compares an artificial intelligence (AI) system called WebCeph with the traditional way orthodontists diagnose and plan treatment for misaligned teeth (malocclusion). Researchers will use routine dental records from 120 new patients aged 12 and older. Each case will be assessed by both the AI and a conventional method, and an expert panel of orthodontists will decide the correct diagnosis. The main goal is to see how often the AI agrees with the experts on classifying the type of bite problem.

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-assisted diagnostic workflow (WebCeph)
What this could lead to
If successful, AI could help orthodontists diagnose and plan treatments faster and more consistently, potentially improving patient outcomes.
What could go wrong
This is a single-center study with 120 participants, so results may not apply broadly. AI may not match expert judgment in all cases, and it does not replace the treating orthodontist's final decision.

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

120 people

The number who actually took part.

Started

Mar 2024

Finished

Mar 2026

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

The study population consisted of new orthodontic patients presenting for assessment at Ben Hafeed Dental Center in Sana'a, Yemen, from March 2024 to March 2026. Eligible participants were aged 12 years or older and had complete, good-quality routine pretreatment orthodontic records. Each enrolled participant contributed one standardized, de-identified case package that was assessed using both the AI-assisted and conventional diagnostic workflows.

Ages

12 years and older

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.

Inclusion Criteria: 1. New orthodontic patients aged 12 years or older. 2. Availability of complete routine pretreatment records, including clinical examination data, standardized extraoral and intraoral photographs, panoramic and lateral cephalometric radiographs, and dental models or digital scans. 3. Pretreatment records of sufficient quality to permit comprehensive orthodontic diagnosis and treatment planning. 4. Provision of written informed consent by adult participants or written parental or legal-guardian permission, together with participant assent for minors, in accordance with applicable local requirements. Exclusion Criteria: 1. Cleft lip and/or palate or another craniofacial syndrome that substantially altered the routine orthodontic diagnostic pathway. 2. A history of previous comprehensive fixed orthodontic treatment. 3. Incomplete, poor-quality, or non-standardized records that prevented comprehensive orthodontic diagnosis and treatment planning. 4. Refusal to participate or subsequent withdrawal of consent.

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Conditions

The condition(s) this trial relates to.

autosomal dominant prognathism malocclusion due to protuberant upper front teeth Malocclusion, Angle Class I Malocclusion, Angle Class II

As listed by the trial registrant

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

Malocclusion, angle class I Malocclusion, angle class II Malocclusion, angle class III

Contacts and locations

Locations

  • Ben Hafeed Dental Center

    Sanaa, Yemen

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