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
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 design
Treatments tested in this trial
- Artificial Intelligence-Driven Cephalometric Analysis
Treatment groups
55 Participants
are divided into 1 treatment groupSponsors and collaborators
Source ClinicalTrials.gov