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Validation of AI-Based Cephalometric Analysis in Orthodontics

NCT07315152 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 55

Last updated 2026-01-07

No results posted yet for this study

Summary

This study is designed to evaluate whether artificial intelligence can analyze cephalometric images in orthodontics as a reliable tool for diagnosis and treatment planning. The study will include orthodontic patients who need cephalometric evaluation. Participants will have their X-ray images analyzed using both the AI system and traditional manual methods. The study will compare the results to see how closely the AI measurements match the standard measurements. This information may help patients, families, and health care providers understand how AI can support orthodontic diagnosis and treatment planning.

Conditions

  • Malocclusion

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence-Driven Cephalometric Analysis

Cephalometric analysis performed using AI software, compared with manual tracings for validation of accuracy in orthodontic diagnosis and treatment planning.

Sponsors & Collaborators

  • Al-Azhar University

    lead OTHER

Principal Investigators

  • Mohammed A Mohammed, DDs,phD · Al-Azhar University

Eligibility

Min Age
12 Years
Max Age
30 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-31
Primary Completion
2027-06-30
Completion
2028-06-30

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07315152 on ClinicalTrials.gov