Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite
研究概览
简要总结
Building artificial intelligence models for diagnosis of anterior open bite malocclusion
详细描述
The study aims at creating artificial intelligence models, with the input being the pre-treatment photographs and radiographs of open bite patients that are routinely taken for diagnosis and treatment planning. The output of the AI model will be the type and phenotype of anterior open bite. The photographs and radiographs with highest quality will be arranged in certain standardized templates to facilitate the machine learning process.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 7 Years 至 60 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •anterior open bite
排除标准
- •craniofacial syndromes, previous orthodontic treatment, poor quality records
结局指标
主要结局
the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite
时间窗: 8 months
The percentage of agreement between the AI model result and the actual diagnosis
次要结局
未报告次要终点
研究者
Heba El-Sayed Kamel Akl
Lecturer at Orthodontic Department- Faculty of Dentistry
Cairo University