Validation of AI-Based Cephalometric Analysis in Orthodontics (AI-CEPH)

Al-Azhar University

Status: Begins enrollment in 2 months

Conditions: Malocclusion

Treatments: Diagnostic Test: Artificial Intelligence-Driven Cephalometric Analysis

Study type: Observational

Funder types: Other

Identifiers

NCT07315152

AI-CEPH-VAL-01

Details and patient eligibility

About

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.

Full 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.

Enrollment: 55 estimated patients

Sex: All

Ages: 12 to 30 years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

55 participants in 1 patient group

Patients

Description:

Patients undergoing routine cephalometric analysis, used to validate AI-driven measurements against manual tracings.

Treatment:

Diagnostic Test: Artificial Intelligence-Driven Cephalometric Analysis