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.
Study Type
OBSERVATIONAL
Enrollment
55
Cephalometric analysis performed using AI software, compared with manual tracings for validation of accuracy in orthodontic diagnosis and treatment planning.
Faculty of Dentistry, Al-Azhar University
Asyut, Asyut Governorate, Egypt
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
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.