An observational study in Malocclusion, sponsored by Al-Azhar University. Not yet recruiting at 1 site in Egypt. Open to participants aged 12 Years to 30 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-01-07.
Sponsored by Al-Azhar University · Observational
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.
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.
323 studies on the registry are indexed under Malocclusion; 85 are open to participants now.
This study's planned enrollment of 55 is below the median of 63 across 74 observational studies indexed under Malocclusion.
Browse Malocclusion studies →Al-Azhar University is the lead sponsor of 531 studies on the registry; 172 are open to participants now.
Of its 5 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.
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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.
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Exclusion Criteria:
Patients undergoing routine cephalometric analysis, used to validate AI-driven measurements against manual tracings.
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.
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
Plan to share: Undecided — The decision to share individual participant data has not yet been finalized. Considerations regarding participant confidentiality, data protection regulations, and ongoing study procedures may affect the ability to share IPD in the future.
Start is estimated for May 2026; primary completion for Jun 2027, 13 months later.
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This study is not yet recruiting, as verified in Dec 2025. You cannot join it, but the record below documents what was studied.
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