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Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application

Diabetic Retinopathy Clinical Trial

Official title:
Multi-modal Imaging and Artificial Intelligence Diagnostic System for Multi-level Clinical Application

Clinical Trial Summary

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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT03899623
Study type Observational
Source Zhongshan Ophthalmic Center, Sun Yat-sen University
Contact Yuan Jin, Professor
Phone 8602087333391
Email yuanjincornea@126.com
Status Recruiting
Phase
Start date April 23, 2018
Completion date December 31, 2019
View Details
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