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.
Study Type
OBSERVATIONAL
Enrollment
730
The training dataset was used to train the deep learning model, which was validated and tested by the other two datasets.
Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
Guangzhou, Guangdong, China
area under the receiver operating characteristic curve of the deep learning system
The investigators will calculate the area under the receiver operating characteristic curve of deep learning system and compare this index between deep learning system and human doctors
Time frame: baseline
sensitivity of the deep learning system
The investigators will calculate the sensitivity of deep learning system and compare this index between deep learning system and human doctors
Time frame: baseline
specificity of the deep learning system
The investigators will calculate the specifity of deep learning system and compare this index between deep learning system and human doctors
Time frame: baseline
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