Developing and validating an artificial intelligence based model for diabetic retinopathy
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- To evaluate the sensitivity, specificity, and accuracy of the AI solution in the detection and referral of diabetic retinopathy using retinal images captured from patients visiting the AIIMS eye centre.
研究概览
简要总结
Individuals with diabetes visiting the AIIMS eye centre will undergo retinal examination. Their retina images will be assessed by the artificial intelligence (AI) solution, and the resulting diagnoses will be documented. These findings will then be compared with the gold standard annotations provided by two ophthalmologists. In case of a discrepancy between the gold annotations provided by two ophthalmologists, an arbitrator will provide their independent gold annotation.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 99.00 Year(s)（—）
- 性别
- All
入选标准
- •PATIENTS of diabetes mellitus, cooperative for fundus photography.
排除标准
- •Not giving consent, Presence of any media opacity in the eye which may degrade the quality of the fundus image, Presence of significant ptosis or lid abnormalities hampering image capture.
结局指标
主要结局
To evaluate the sensitivity, specificity, and accuracy of the AI solution in the detection and referral of diabetic retinopathy using retinal images captured from patients visiting the AIIMS eye centre.
时间窗: BASELINE
次要结局
未报告次要终点
研究者
Dr Pradeep Venkatesh
All India Institute of Medical Sciences