Comparative evaluation of accuracy between conventional method and artificial neural network modelling method (AI) in the diagnosis of gingivitis .
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- To assess and compare the diagnostic accuracy of an Artificial Neural Network (AI-based tool) with conventional clinical methods (Gingival Index and Plaque Index) for the detection of gingivitis in patients.
研究概览
简要总结
This study aims to evaluate the diagnostic accuracy of an AI-based mobile application developed to detect gingivitis from standardized intraoral photographs, compared with the traditional clinical probing method. Patients will be assessed using both the AI tool and conventional periodontal probing to determine gingival inflammation. The primary objective is to assess sensitivity, specificity, and agreement between the AI-based diagnosis and clinician-based probing, thereby validating the utility of the app as a non-invasive screening tool for gingivitis in clinical and community settings.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 盲法
- None
入排标准
- 年龄范围
- 18.00 Year(s) 至 60.00 Year(s)（—）
- 性别
- All
入选标准
- •1.Patients of age 14-75yrs groups are included.
- •2.Patients of all genders are included.
- •3.Patients with normal occlusion.
- •4.Patients who diagnosed to have gingivitis and have 24 or more teeth.
排除标准
- •1.Patients under the age of 14 yrs are not included in the study.
- •2.Patients with other gingival diseases such as localized periodontitis , aggressive periodontitis, chronic periodontitis, and necrotizing periodontal diseases 3.Patients with all systemic diseases and pre historic medications are not included in the study.
结局指标
主要结局
To assess and compare the diagnostic accuracy of an Artificial Neural Network (AI-based tool) with conventional clinical methods (Gingival Index and Plaque Index) for the detection of gingivitis in patients.
时间窗: Single time point: | Diagnostic evaluations (both conventional and AI-based) were performed during the same outpatient visit, without any follow-up. | T0 (Baseline): On the day of enrollment, each patient underwent: | Clinical examination using Gingival Index & Plaque Index | Intraoral imaging for AI-based diagnosis
次要结局
未报告次要终点
研究者
Dr Panshul Kharche
NIMS Dental College