Assessment of the Diagnostic Accuracy of Artificial Intelligence in Gummy Smile Diagnosis & Treatment Planning: A Pilot Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 210
- 试验地点
- 1
- 主要终点
- Diagnostic Accuracy of AI Software
研究概览
简要总结
Some people have a "gummy smile," where too much gum tissue shows when they smile. Doctors currently diagnose this by hand, using rulers and visual judgment. This study is testing whether a computer program using artificial intelligence (AI) can help identify and measure gummy smiles from photographs, as accurately as expert dentists do it manually.
Patients seen at Cairo University's Periodontics and Orthodontics clinics will have photos of their smile taken. Researchers will use these photos to first "teach" the AI program how to recognize and measure a gummy smile. Then, the AI will be tested on a new set of patient photos, and its measurements will be compared to measurements made by expert dentists, to see how closely they match.
The goal is to find out whether this AI tool could one day help doctors diagnose gummy smiles more quickly and consistently, which may improve care for patients.
详细描述
This is a diagnostic accuracy test to evaluate the accuracy of decisions made by the computer generated program in the cases of gummy smile compared to the conventional decisions made by the periodontist as a gold standard.
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
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Properly treated gummy smile cases either surgical through crown lengthening procedure / Orthognathic Surgery or non-surgical through orthodontic treatment /Botox injection.
排除标准
- •Improperly treated gummy smile cases
结局指标
主要结局
Diagnostic Accuracy of AI Software
时间窗: During the Validation phase (Months 5-6) and Post-analytical phase (Months 7-8) of the study, when the AI model's measurements are tested against the reference standard
The primary outcome of the study is the diagnostic accuracy of the AI software. This metric will assess the ability of the software to accurately identify cases of gummy smile compared to traditional diagnostic methods. The results will be measured and reported as a percentage, providing a clear indication of the software's performance and reliability in clinical settings.
次要结局
- Effectiveness of treatment planning of AI Software(Months 5 through 8 of the study (Validation and Post-analytical phases), during which the AI model's measurements are compared against the reference standard)
研究者
Hesham Ahmed Abdelhamid Elsayed Shamma
Master's degree candidate in Periodontology
Cairo University