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AI reads gender from the jaw: a new tool for forensic identification?

NCT ID NCT07726290

Diagnosis Sponsor: Cairo University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jul 24, 2026

Summary

This study tests whether artificial intelligence can accurately predict a person's gender by measuring specific points on the jawbone (mandible) from dental CT scans. Researchers will develop a deep learning model to identify anatomical landmarks and take linear measurements, then compare its predictions to the known gender from patient records. If successful, this AI approach could become an objective tool for forensic scientists working to identify skeletal remains.

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 model) for gender prediction from mandibular measurements
What this could lead to
If accurate, this AI tool could provide a fast, objective method for gender identification in forensic cases where only skeletal remains are available.
What could go wrong
This is a retrospective study using existing scans from one population, so results may not apply to other groups. The AI's accuracy depends on scan quality and may be limited by artifacts or anatomical variations.

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 385 people

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

Started

Jun 2026

Expected to finish

May 2027

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

CBCT scans of patients, who have already been imaged for other treatment purposes, will be retrieved. Automatically segmented mandibles from these CBCT scans will be the population of the study.

Ages

18 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: * Scans belonging to patients above or at the age of 18 years (≥ 18 years) * Scans that image the area of interest clearly (mandible) with a craniofacial or maxillomandibular field of view. * Good quality of the scan with no artefacts Exclusion Criteria: * CBCT scans with significant artifacts (e.g. metal artefact) affecting visualization of the mandible * Congenital craniofacial anomalies affecting the mandibular anatomy * Large pathologies that affect the mandible's dimensions and cause significant bone loss. * Trauma to the mandible

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Conditions

The condition(s) this trial relates to.

Coitus

As listed by the trial registrant

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

Artifical intelligence Forensic dentistry GENDER Gender prediction Mandible Morphometric analysis

How to take part

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

  1. The places running it

    1 site. The list below names each one and where it is.

  2. 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 ↗

  3. 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.

Contacts and locations

Locations

  • Faculty of Dentistry, Cairo University

    RECRUITING

    Cairo, Egypt

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