Validation of AI-Based Cephalometric Analysis in Orthodontics

NCT07315152 · tracked via the Priya Life Science Egypt tracker

Sponsor

Al-Azhar University

Phase

Observational

Started

2026-05

Last updated

2026-01-07

Condition(s) studied

Malocclusion

Investigational drug(s) / intervention(s)

Artificial Intelligence-Driven Cephalometric Analysis

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.

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.

Eligibility

Sex

ALL

Min age

12 Years

Max age

30 Years

Healthy volunteers

Accepted

Inclusion Criteria: * No systemic disease. * Not receiving medical treatment that could interfere with bone metabolism. * Good level of oral hygiene. * No periodontal disease or radiographic evidence of bone loss. Exclusion Criteria: * Periodontally compromised patients. * Presence of systemic diseases. * Drug dependencies. * Uncooperative patients.

Primary outcome measure(s)

Accuracy of AI-driven cephalometric analysis — Day 1
Comparison of cephalometric measurements obtained using AI software with manual tracings to evaluate the accuracy and reliability of AI-driven analysis in orthodontic diagnosis.

Trial sites (1)

Facility	City	Region	Status
Faculty of Dentistry, Al-Azhar University	Asyut	Asyut Governorate

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Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07315152 on ClinicalTrials.gov ↗ ← All trials in Egypt