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

NCT03899623 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2019-04-02

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Zhongshan Ophthalmic Center, Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Yuan Jin, Professor · Zhongshan Opthalmic Center

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-04-23
Primary Completion
2019-12-31
Completion
2019-12-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03899623 on ClinicalTrials.gov