Artificial Intelligence (AI), Hepatobiliary Diseases, Ophthalmology, Systemic Diseases
Conditions
Brief 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.
Interventions
DIAGNOSTIC_TESTSystemic 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.
Sponsors
Zhongshan Ophthalmic Center, Sun Yat-sen University
Third Affiliated Hospital, Sun Yat-Sen University
Aikang Health Care
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| area under the receiver operating characteristic curve of the deep learning system | baseline | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| sensitivity of the deep learning system | baseline | The investigators will calculate the sensitivity of deep learning system and compare this index between deep learning system and human doctors |
| specificity of the deep learning system | baseline | The investigators will calculate the specifity of deep learning system and compare this index between deep learning system and human doctors |
Countries
China
Outcome results
None listed