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AI reads your face: new study aims to spot jaw problems faster

NCT ID NCT07551622

Diagnosis Sponsor: Xi'an Jiaotong University 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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will develop and test artificial intelligence (AI) models that analyze facial photos, 3D scans, and CT images to help diagnose conditions like misaligned jaws and facial deformities. About 2,000 participants will have their existing medical images used to train and test the AI. The goal is to make image-based diagnosis more accurate and efficient, but the AI is only meant to assist doctors, not replace them.

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 (deep learning) models for image analysis
What this could lead to
If successful, this could lead to faster, more accurate diagnosis of jaw and facial deformities using AI, helping doctors plan better treatments.
What could go wrong
This is an early-stage research study, not a treatment trial. The AI models may not perform well enough in real-world settings, and they are only meant to assist, not replace, doctors.

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

About 2,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

May 2026

An estimate. Start dates often move.

Expected to finish

Dec 2029

An estimate. End dates often move.

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 will include approximately 2,000 participants with craniomaxillofacial imaging data and related clinical information obtained during routine dental, orthodontic, oral and maxillofacial, or related clinical care. Eligible participants may have two-dimensional facial photographs, cone-beam computed tomography images, or three-dimensional facial surface scans available for artificial intelligence-based imaging analysis. Related clinical information may include demographic characteristics, clinical diagnosis, skeletal or dental classification, cephalometric measurements, treatment-related records, and expert assessment results. The study will use available clinical imaging data to develop and validate deep learning models for craniomaxillofacial image classification, segmentation, landmark detection, abnormality recognition, and treatment-related decision support.

Ages

6 to 70 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: * Participants with available craniomaxillofacial imaging data obtained during routine dental, orthodontic, oral and maxillofacial, or related clinical care. * Participants with at least one eligible imaging modality, including two-dimensional facial photographs, cone-beam computed tomography images, or three-dimensional facial surface scans. * Participants with related clinical information available for model development or validation, such as demographic information, clinical diagnosis, skeletal or dental classification, cephalometric measurements, treatment-related records, or expert assessment results. * Imaging data of sufficient quality for artificial intelligence-based image analysis, annotation, segmentation, landmark detection, classification, or decision-support model development. Exclusion Criteria: * Participants with incomplete or unavailable key imaging data or clinical information required for the planned analysis. * Images with severe artifacts, poor resolution, incorrect orientation, incomplete anatomical coverage, or other quality problems that prevent reliable analysis. * Duplicate records or repeated imaging records that cannot be reliably linked to a unique participant. * Participants whose data cannot be used according to institutional review board approval, consent requirements, or applicable privacy protection regulations.

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Conditions

The condition(s) this trial relates to.

Dentofacial Deformities Malocclusion

As listed by the trial registrant

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

Craniofacial morphology Dentofacial deformities Malocclusion

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  2. 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.

More trials for these conditions

Other studies related to the condition(s) this trial covers.