The Development of Artificial Intelligence Dry Eye Screening and Referral System
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 1,273
- 试验地点
- 1
- 主要终点
- Area under the curve (severe)
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •Subjects who cannot do the inspection.
- •Subjects who suffer from diseases that compromise the inspection.
研究组 & 干预措施
Mild group
This group of subjects was diagnosed with dry eye but can use artificial tears instead of further treatment.
干预措施: Dry eye diagnostic test (Diagnostic Test)
Follow-up group
This group of subjects had no dry eye symptoms and signs and belonged to the normal control group.
干预措施: Dry eye diagnostic test (Diagnostic Test)
Severe Group
This group of subjects needed a referral to the hospital for further treatments.
干预措施: Dry eye diagnostic test (Diagnostic Test)
结局指标
主要结局
Area under the curve (severe)
时间窗: up to 1 month
AUC values for predicting whether subject need to be referral or not.
次要结局
- Area under the curve (each group)(up to 1 month)
- Accuracy, true positive rate, and true negative rate(up to 1 month)
研究者
Haotian Lin
Professor
Sun Yat-sen University