Artificial Intelligence enabled referral pathways for early diagnosis of complications arising from diabetes: application to diabetic retinopathy.
试验速览
- 阶段
- 3 期
- 状态
- 招募中
- 入组人数
- 750
- 试验地点
- 2
- 主要终点
- A key outcome is the establishment of a referral pathway to coordinate the disparate parts of a private healthcare system and provide early diagnosis of chronic conditions such as DR.
研究概览
简要总结
This study aims to investigate the feasibility and cost-effectiveness of an AI-enabled systematic DR screening program at a diabetes clinic and a systematic referral pathway to a tertiary eye clinic. People with diabetes, especially those with greater risk of microvascular complications, regularly visit their diabetes specialist. Hence, we hypothesise that such an intervention could lead to earlier detection of DR and visual impairment caused by it compared to routine DR care pathways at a tertiary eye care setting, improve the overall management of DR and reduce the risk of severe vision loss.
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 90.00 Year(s)（—）
- 性别
- All
入选标准
- •1.Idea clinic (physician-led)DR screening pathway 2.People with diabetis (PWD) who have never had a fundus examination or fundus photo screening 3.PWD willing to participate.
排除标准
- •Patients with diagnosis of DR or treatment for DR.
结局指标
主要结局
A key outcome is the establishment of a referral pathway to coordinate the disparate parts of a private healthcare system and provide early diagnosis of chronic conditions such as DR.
时间窗: Total duration will be 1 year. | Follow ups is 3 months, 6 months and 1 year
次要结局
- establishment of the accuracy of screening using AI-enabled cameras operated by non-ophthalmology technicians(3,6 months and annually as per diabetic retinopathy diagnosis)
研究者
Dr.Padmaja Kumari
L V Prasad Eye Institute