Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 730
- 试验地点
- 1
研究概览
简要总结
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may provide insight into exploring the potential covert association behind and reveal some early ocular architecture changes in individuals with systemic diseases. The investigators conducted a survey to explore the association between the eye and systemic diseases via deep learning, to develop and evaluate different deep learning models to predict the systemic diseases such as hepatobiliary disease by using ocular images.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 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
- •The quality of ocular images should clinical acceptable.
- •Complete clinical information such as baseline demographic characteristics, the history of systematic diseases and so on.
排除标准
- •Individuals diagnosed with severe eye diseases or acute systematic diseases.
- •Incompatible with ocular examinations.
研究组 & 干预措施
development dataset 01
ocular images collected from the Third Affiliated Hospital of Sun Yat-sen University
干预措施: Systemic diseases such as Hepatobiliary Disorders (Diagnostic Test)
development dataset 02
ocular images collected from Pazhou Medical Centre of Aikang Health Care
干预措施: Systemic diseases such as Hepatobiliary Disorders (Diagnostic Test)
test dataset 01
ocular images collected from the Third Affiliated Hospital of Sun Yat-sen University
干预措施: Systemic diseases such as Hepatobiliary Disorders (Diagnostic Test)
test dataset 02
ocular images collected from Pazhou Medical Centre of Aikang Health Care
干预措施: Systemic diseases such as Hepatobiliary Disorders (Diagnostic Test)