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Recruiting NCT07726290

NCT07726290 Validating AI for Gender Prediction Using Morphometric Analysis of the Mandible

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Clinical Trial Summary
NCT ID NCT07726290
Status Recruiting
Phase
Sponsor Cairo University
Condition Gender
Study Type OBSERVATIONAL
Enrollment 385 participants
Start Date 2026-06-01
Primary Completion 2027-03-30

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 385 participants in total. It began in 2026-06-01 with a primary completion date of 2027-03-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This retrospective validity study evaluates the accuracy of artificial intelligence (AI) in determining gender from mandibular morphometric linear measurements. The study utilizes pre-existing Cone Beam Computed Tomography (CBCT) scans of adult Egyptian dental patients. After automatic segmentation of the mandible from these scans, a radiologist will manually perform measurements from certain anatomical points. These measurements will be the reference standard for the AI models. A three-dimensional deep learning model will be developed to perform two tasks: 1. To identify the anatomical points and make the specified linear measurements from these points on the segmented mandibles 2. To accurately predict gender based on these measurements. (Main Objective) The primary objective of this study is to evaluate the accuracy of machine learning algorithms in gender identification from linear morphometric measurements of the mandible. The known gender from patient records will serve as the reference standard. This study will assess the reliability of AI as an objective tool for gender determination for forensic purposes.

Eligibility Criteria

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

Contact & Investigator

Central Contact

Ashrakat Abdelmonem Habib, Master's candidate

✉ ashrakat.habib@dentistry.cu.edu.eg

📞 +201146752225

Principal Investigator

Ola Mohamed Associate professor

STUDY DIRECTOR

Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University

Frequently Asked Questions

Who can join the NCT07726290 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Gender. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07726290 currently recruiting?

Yes, NCT07726290 is actively recruiting participants. Contact the research team at ashrakat.habib@dentistry.cu.edu.eg for enrollment information.

Where is the NCT07726290 trial being conducted?

This trial is being conducted at Cairo, Egypt.

Who is sponsoring the NCT07726290 clinical trial?

NCT07726290 is sponsored by Cairo University. The principal investigator is Ola Mohamed Associate professor at Oral and Maxillofacial Radiology, Faculty of Dentistry, Cairo University. The trial plans to enroll 385 participants.

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