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Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
Summary
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
730
Start Date
2020-04-10
Completion Date
2024-07-30
Last Updated
2026-09-01
Healthy Volunteers
Yes
Interventions
Systemic diseases such as Hepatobiliary Disorders
The training dataset was used to train the deep learning model, which was validated and tested by the other two datasets.
Locations (1)
Zhongshan Ophthalmic Center, Sun Yat-sen Univerisity
Guangzhou, Guangdong, China