NCT07315152

Validation of AI-Based Cephalometric Analysis in Orthodontics

Validation of Artificial Intelligence-Driven Cephalometric Analysis as a Reliable Tool for Orthodontic Diagnosis and Treatment Planning

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 55 (estimated)
• Sponsor: Al-Azhar University · Academic / Other
• Sex: All
• Age: 12 Years – 30 Years
• Healthy volunteers: Accepted

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.

Detailed description

Cephalometric analysis is a fundamental diagnostic tool in orthodontics. Conventional manual tracing is time-consuming and operator-dependent, while artificial intelligence-based software has been introduced to improve efficiency and consistency. This observational study will evaluate and compare manual and AI-assisted cephalometric analyses using lateral cephalometric radiographs. Selected angular and linear measurements will be assessed, and the agreement between the two methods will be statistically analyzed to determine accuracy and reliability.

Conditions

• Malocclusion

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2026-05-01
• Primary completion: 2027-06-01
• Completion: 2028-06-01
• First posted: 2026-01-02
• Last updated: 2026-01-07

Locations

1 site across 1 country: Egypt