Last reviewed · How we verify
Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application
This study is to build an multi-modal artificial intelligence ophthalmological imaging diagnostic system covering multi-level medical institutions. We are going to evaluate this system in an evidence-based medicine view, taking diabetic retinopathy as an example. And clinical diagnostic criteria will be made based on this multi-modal artificial intelligence imaging diagnostic system. The study is designed as a cross-sectional study involving 1,000 normal individuals, 1,000 diabetes patients without ocular complications, and 1,000 with diabetic ocular complications. Statistical analysis of the diagnostic sensitivity and specificity of the artificial intelligence system will be made, and ROC curve wil be draw.
Details
| Lead sponsor | Zhongshan Ophthalmic Center, Sun Yat-sen University |
|---|---|
| Status | UNKNOWN |
| Enrolment | 3000 |
| Start date | Mon Apr 23 2018 00:00:00 GMT+0000 (Coordinated Universal Time) |
| Completion | Tue Dec 31 2019 00:00:00 GMT+0000 (Coordinated Universal Time) |
Conditions
- Diabete Mellitus
- Diabetic Retinopathy
Countries
China