Validation of Artificial Intelligence-Driven Cephalometric Analysis as a Reliable Tool for Orthodontic Diagnosis and Treatment Planning
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 55
- 试验地点
- 1
- 主要终点
- Accuracy of AI-driven cephalometric analysis
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 12 Years 至 30 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •Periodontally compromised patients.
- •Presence of systemic diseases.
- •Drug dependencies.
- •Uncooperative patients.
研究组 & 干预措施
Patients
Patients undergoing routine cephalometric analysis, used to validate AI-driven measurements against manual tracings.
干预措施: Artificial Intelligence-Driven Cephalometric Analysis (Diagnostic Test)
结局指标
主要结局
Accuracy of AI-driven cephalometric analysis
时间窗: Day 1
Comparison of cephalometric measurements obtained using AI software with manual tracings to evaluate the accuracy and reliability of AI-driven analysis in orthodontic diagnosis.
次要结局
未报告次要终点
研究者
Hamdi Khalaf Ali
Principal Investigator (Master's Degree Researcher)
Al-Azhar University