Dry Eye Screening and Referral System
The Development of Artificial Intelligence Dry Eye Screening and Referral System
Dry eye is one of the most common ocular surface diseases. Its pathogenic factors are related to multiple etiology. Because of the complexity of the pathogenesis of dry eye, the diversity of related examinations, and the inconsistency of symptoms and signs of dry eye patients, the diagnosis of dry eye has higher requirements on the professional technology and examination equipment of ophthalmologists.
The purpose of this study is to establish a case-control cohort of dry eye patients. Multimodal data will be collected from participants, including medical history information, ocular surface disease index scale (OSDI), anterior segment photography, and treatment outcome of dry eye patients. The correlation between the characteristics of anterior segment images and dry eye diagnosis will be explored by artificial intelligence algorithms. The purpose of this study was to develop an artificial intelligence dry eye screening and referral system.
研究概览
研究类型
注册 (实际的)
联系人和位置
学习地点
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Guangdong
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Guangzhou、Guangdong、中国、510632
- Zhongshan Ophthalmic Center
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
描述
Inclusion Criteria:
- Subjects whose age are greater than or equal to 18 years old;
- Subjects who can cooperate with the inspection;
- Subjects who agree to participate in the study and sign the consent form.
Exclusion Criteria:
- Subjects who cannot do the inspection.
- Subjects who suffer from diseases that compromise the inspection.
学习计划
研究是如何设计的？
设计细节
队列和干预
团体/队列 |
干预/治疗 |
|---|---|
|
Severe Group
This group of subjects needed a referral to the hospital for further treatments.
|
The artificial intelligent dry eye screening platform
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Mild group
This group of subjects was diagnosed with dry eye but can use artificial tears instead of further treatment.
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The artificial intelligent dry eye screening platform
|
|
Follow-up group
This group of subjects had no dry eye symptoms and signs and belonged to the normal control group.
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The artificial intelligent dry eye screening platform
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研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Area under the curve (severe)
大体时间：up to 1 month
|
AUC values for predicting whether subject need to be referral or not.
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up to 1 month
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Area under the curve (each group)
大体时间：up to 1 month
|
AUC values for predicting whether subject can be accurately grouped into each of the four groups.
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up to 1 month
|
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Accuracy, true positive rate, and true negative rate
大体时间：up to 1 month
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The performance of this artificial platform.
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up to 1 month
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合作者和调查者
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (预期的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.