Automated vs. Manual Screening of Eye Images: A Comparative Study of Artificial Intelligence-Based Diabetic Retinopathy Detection
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 15,000
- 试验地点
- 1
- 主要终点
- The primary outcome of the study appears to be a comparison of the rapidity, quality, and cost of screening fundus photography using two different modalities:
研究概览
简要总结
This is only an observational study. There is no intervention taking place
Hence, safety is not a concern at all
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 40.00 Year(s) 至 80.00 Year(s)（—）
- 性别
- All
入选标准
- •All patients above the age of 40 years residing in Umarpada taluka.
排除标准
- •Media opacity Patient denies examination.
结局指标
主要结局
The primary outcome of the study appears to be a comparison of the rapidity, quality, and cost of screening fundus photography using two different modalities:
时间窗: Time PointsThe study will assess these outcomes at specific time points: | 1. Baseline: Initial assessment | 2. 4 weeks: Follow-up assessment | 3. 8 weeks: Final assessment
1. AI-based imaging tool
时间窗: Time PointsThe study will assess these outcomes at specific time points: | 1. Baseline: Initial assessment | 2. 4 weeks: Follow-up assessment | 3. 8 weeks: Final assessment
2. Manual grading by a grader
时间窗: Time PointsThe study will assess these outcomes at specific time points: | 1. Baseline: Initial assessment | 2. 4 weeks: Follow-up assessment | 3. 8 weeks: Final assessment
次要结局
- 1. Diagnostic Accuracy: Comparison of true positives, false positives, true negatives, & false negatives between AI-based imaging tool & manual grading.(2. Grader Agreement: Inter-grader reliability & agreement between AI-based tool & manual grading.)
研究者
Dr Uday Gajiwala
Divyajyoti Trust