Validation of AI-Based Cephalometric Analysis in Orthodontics

ConditionMalocclusion
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age12-30
SponsorAl-Azhar University

About this trial

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 criteria

This trial accepts healthy volunteers

Qualifiers

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.

Disqualifiers

Periodontally compromised patients.

Presence of systemic diseases.

Drug dependencies.

Uncooperative patients.

Trial population

consists of orthodontic patients aged 12 to 40 years who require orthodontic diagnosis and treatment planning. Participants will have good-quality lateral cephalometric radiographs taken using standardized imaging protocols. The study includes both male and female patients with no previous orthodontic treatment.

Trial design

Design model

Other

Time perspective

Cross-sectional

Treatments tested in this trial

  • Artificial Intelligence-Driven Cephalometric Analysis

    Diagnostic test

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

Treatment groups

55 Participants
are divided into 1 treatment group
Group A: Patients1 intervention

Trial outcomes

Primary outcomes

1

Accuracy of AI-driven cephalometric analysis

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

Time frame
Day 1

Secondary outcomes

Other outcomes

Sponsors and contacts

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This trial is not recruiting at the moment. You can still explore other options: