Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning

Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning

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.

Inclusion Criteria:

• The quality of ocular images should clinical acceptable.
• Complete clinical information such as baseline demographic characteristics, the history of systematic diseases and so on.

Exclusion Criteria:

• Individuals diagnosed with severe eye diseases or acute systematic diseases.
• Incompatible with ocular examinations.