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Research of Automated Maculopathy Screening Based on AI Techniques Using OCT Images

NCT03476291 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 20000

Last updated 2018-03-26

No results posted yet for this study

Summary

The investigators expect to develop an algorithm that can interpret OCT images and automated determine whether the macula is normal or not by using OCT image-based deep learning techniques. And investigators wish to develop software applications that will help better screen and diagnose macular diseases in resource-limited areas.

Conditions

  • Maculopathy

Sponsors & Collaborators

  • The First Affiliated Hospital with Nanjing Medical University

    lead OTHER

Principal Investigators

  • Songtao Yuan, doctor · The First Affiliated Hospital with Nanjing Medical University

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-06-30
Primary Completion
2018-06-01
Completion
2020-12-31

Countries

  • China

Study Locations

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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 NCT03476291 on ClinicalTrials.gov