Clinical Trial

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

Completed
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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.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-05-06.
Trial Details
NCT Number NCT07581925
Lead Sponsor Zhongshan Ophthalmic Center, Sun Yat-sen University
Collaborators: Third Affiliated Hospital, Sun Yat-Sen University, Aikang Health Care
Conditions Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
Enrollment 775 participants
Start Date 2020-04-10
Primary Completion 2024-07-30 (estimated)
Study Completion 2024-07-30 (estimated)
Updated on ClinicalTrials.gov 2026-05-14